{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Text and Annotation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Creating a good visualization involves guiding the reader so that the figure tells a story.\n",
    "In some cases, this story can be told in an entirely visual manner, without the need for added text, but in others, small textual cues and labels are necessary.\n",
    "Perhaps the most basic types of annotations you will use are axes labels and titles, but the options go beyond this.\n",
    "Let's take a look at some data and how we might visualize and annotate it to help convey interesting information. We'll start by setting up the notebook for plotting and  importing the functions we will use:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "plt.style.use('seaborn-whitegrid')\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Example: Effect of Holidays on US Births\n",
    "\n",
    "Let's return to some data we worked with earlier, in [Example: Birthrate Data](03.09-Pivot-Tables.ipynb#Example:-Birthrate-Data), where we generated a plot of average births over the course of the calendar year. We'll start with the same cleaning procedure we used there, and plot the results (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# shell command to download the data:\n",
    "# !cd data && curl -O \\\n",
    "#   https://raw.githubusercontent.com/jakevdp/data-CDCbirths/master/births.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "births = pd.read_csv('data/births.csv')\n",
    "\n",
    "quartiles = np.percentile(births['births'], [25, 50, 75])\n",
    "mu, sig = quartiles[1], 0.74 * (quartiles[2] - quartiles[0])\n",
    "births = births.query('(births > @mu - 5 * @sig) & (births < @mu + 5 * @sig)')\n",
    "\n",
    "births['day'] = births['day'].astype(int)\n",
    "\n",
    "births.index = pd.to_datetime(10000 * births.year +\n",
    "                              100 * births.month +\n",
    "                              births.day, format='%Y%m%d')\n",
    "births_by_date = births.pivot_table('births',\n",
    "                                    [births.index.month, births.index.day])\n",
    "births_by_date.index = [datetime(2012, month, day)\n",
    "                        for (month, day) in births_by_date.index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "births_by_date.plot(ax=ax);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When we're visualizing data like this, it is often useful to annotate certain features of the plot to draw the reader's attention.\n",
    "This can be done manually with the `plt.text`/`ax.text` functions, which will place text at a particular *x*/*y* value (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3HG+++SYymYx7773XJXExGo0cOHCA//u//zujuQgEgosHydZ6LVEgEAgEvUJRUZHL69rHx+ecHddms/HOO+9QWlrKX//613N2XLDLF+6//37mzZvn0n73FuvXryczM7OD9WFfZs2aNZw8ebLDA6FAILh0ENIOgUAg6GX+9a9/ccstt/DYY4+d0yAa4LLLLuPbb7/l/vvvP6fHPXXqFBMmTMDPz48rrrjinB7bHXPnzkWj0XD8+PFeP9fFgFar5csvv3Q1BBIIBJcmIiMtEAgEAoFAIBD0AJGRFggEAoFAIBAIeoAIpAUCgUAgEAgEgh4gAmmBQCAQCAQCgaAHXLL2d5mZmRd6CgKBQCAQCASCnwmjRo3qsO2SDaTB/QX1JbKzs8nIyLjQ0zin9MVrak9fvsa+fG1O+vI19uVrcyKu8dKmL18biOu7lPGUwBXSDoFAIBAIBAKBoAeIQFogEAgEAoFAIOgBIpAWCAQCgUAgEAh6gAikBQKBQCAQCASCHiACaYFAIBAIBAKBoAeIQFogEAgEAoFAIOgBIpAWCAQCgUAgEAh6gAikBQKBQCAQdODdH/J47LPD3RprsdrYW1DH65tPsju3tpdnJvi5sWbNGv75z3+22fbQQw9hNBo7jP3oo4887tMbiEBaIBAIBAJBB9bsL+WTfcVUNOi7HPvs+ixu+s9u/vntCZ5YcxibzXYeZij4OfPKK6+gVCo7bH/rrbfO6zwu6c6GAoFAIBAIzj16k4UTlU0AfH20nDsmJXsca7JY+fxAKbMHRjIhNZS/rj/GvsJ6xiSFnK/pCs4TqzNLWLWv2OPrzc3N+G7XnNExF4yO54ZRcV2OO3jwILfddhtarZYHHniAZ599lq+//pqnn34ajUaDRqNh2rRpNDQ08MwzzzB06FAOHTrEnXfeSV1dHbfccgs333wzr7zyCj/99BNms5nZs2dzzz33nNF82yMy0gKBQCAQCNqQXd6I2WpDLpPYcKS807F7C+po1JuZPzKOm8fE46eU82knwZZA0BN8fHx4//33efvtt3n22WexWq2u18aPH8/KlStZvHgxgYGBPPPMMwAoFAqWLl3K66+/zgcffADA+vXr+ec//8nHH39MQEDAWc9LZKQFAoFAIBC04UhpAwALRsexcm8xlY16IgO83Y79/lgVSoWMKWlh+CoVXDUkmq8Ol/PMvEH4KkWY0Ze4YVRcp9nj7OxsMjIyeuXco0aNQpIkQkNDUavVFBYWul5LTna/YjJw4EAkSSI8PBy93i5Reumll3j55ZepqalhypQpZz0vkZEWCAQCgUDQhsMlDYT5K7lrcgo2G3ztIStts9n4LruCyf3C8FPZg+abRsejM1r4+kjF+ZyyoI9z5MgRAKqrq2lubiY4ONj1miRJrv9urc9vvR3AaDSyceNGlixZwocffsjnn39OaWnpWc1LBNICgUAgEAjacKSkgSGxgfSL8Cc9Ss3nB8vcjjtRqaW4roVZGZGubWOSgokN8uHro51LQgSCM0Gv1/OrX/2KxYsX8+yzz3YIkp2kpqbyyCOPuH1NqVQSGBjIggUL+NWvfsWkSZOIiYk5q3mJNReBQCAQCAQumo1mTlY1MWdwFGDPMD/35TFyKhpJj2qrKV1zoASAyzIiXNskSWL2oEiW/1SEzmB2ZaoFgp4yf/585s+f32bb5s2bAfjHP/7RZvuyZcs67K9SqVzj77//fu6///5zNjeRkRYIBAKBoI/z1eFybnhrF2aLtcuxx8oasdpgaGwgANePiEUpl7FyTzG1WgNPfn6EY2WNFNU2897OAq4bHtNBPz17YBRGs5UfTlb3yvUIBBcL4jFRIBAIBII+zvYT1WQW1nOoRMOoxM5t6Q6V2AsNh8TZA+kQPyVzBkexZn8JmYX1HCltYP2hMvpHqpFLEo9f2bG4bExSMEG+XnybVcnlA6Mo07QQH+J77i9MILjAiIy0QCAQCAR9nIJaHQDbTtR0OXZ3bi3xIT5tssy3jImnUW8mu7yRv18/hCBfJfsK67lvRipRgR3dPBRyGTPTI9iUU8Ud7+9l6ktbyC5vPHcXJBBcJIhAWiAQCASCPk5RXTMA2050LrUwWaz8mFfL5H7hbbaPTwll0fhEXr91BLeOS+DT30zgz1dncPeUFI/Hmj0wioYWE7tza7DZ4Mc80Tpc0PcQgbRAIBAIBH0YvclCeYMetbeCwyUa6nRGj2MPl2jQGsxMSQtrs10mk3juusFcMTgagMgAb+6ekoK3l9zjsWakh3PvtBQ++81EYgK9ySysPzcXJBBcRIhAWiAQCASCPowzG33TqHhsNjotAPzhZA2SBBNTQ8/6vCqFnCeuzGBYfBAjE4PZ3y6QtlhtfJtVwW+WZYqiRMElS68VG15//fX4+/sDEBcXx7x583j11VdRKBSEhobywgsv4OPjw+uvv87WrVtRKBT86U9/YujQoRQWFvL4448jSRJpaWk8/fTTyGQi5hcIBAKB4EwpqLHro68ZFs3nB0rYdqKaa4fHuh2742QNQ2MDCfJVntM5jEoM5svD5ZRpWogJ8gHgvuX72Zh1umnLlLRwT7sLBBctvRJIGwwGbDZbGy+/OXPmsHz5csLCwnj55Zf59NNPGTVqFHv27OHTTz+lvLycBx54gNWrV/P888/z4IMPMm7cOJ566ik2bdrE5Zdf3htTFQgEAoGgT1NYa89Ip4b5M6lfGLtOudcqN+lNHCjW8JtpnnXPPWVUor0L3f6iemKCfGhoMfFddiW3jktAZzCz42RNm450AsGlQq+keXNycmhpaeHOO+/kV7/6FQcPHmTZsmWEhdk1V2azGZVKRWZmJpMnT0aSJGJiYrBYLNTV1ZGVlcXYsWMBmDp1Krt27eqNaQoEAoFA0OcpqNUR5OtFoK8XoxKDqWjUU97Q0mHcvoJ6LFYbk/qFuTnK2ZERHYCPl9ylk96dW4vFauPaYTFMSAmlVmckz5E5FwguJXolI+3t7c1dd93FTTfdREFBAb/+9a/ZuHEjAN9++y0//fQTDz74IEuXLiUoKMi1n5+fH01NTdhsNlfrR+c2d2RnZ/fG9C8a9Hp9n7vGvnhN7enL19iXr81JX77GvnxtTsQ1duRYUTWRvjKys7MJtugB+HL3USYn+rcZtyfb7h9NQznZ2edes5wW6sXOnHKy+8lYt6caH4WET3MloVYTAOt2ZTE9QdmnP7++/v3s69fnjl4JpJOTk0lMTESSJJKTkwkKCqK6uppvvvmGjRs38u6776JSqfD390enO/0EqtPpUKvVbfTQOp2OgIAAd6chI6OjCXxfIjs7u89dY1+8pvb05Wvsy9fmpC9fY1++NifiGjtSva6cUYmhZGRkkJpm5Y/fVlBt9e9wjHWFOXjJ6xg/fDAymXSup83UIhlvbcvFNyKBrNoKJqWFM3TwQGw2G2HfV1FsUOHtrerTn19f/3725evLzMx0u71XpB2fffaZq/d5ZWUlWq2W1atXs2/fPt5//31CQuxdlUaOHMmOHTuwWq2UlZVhtVoJCQlh4MCB/PTTTwBs376d0aNH98Y0BQKBQCDwyO7cWvKqtRd6GmeFwWyhTNNCYqgfAEqFjMExARwo6mhFV9mgJ0Lt3StBNMAvxyfi6yVn8Uf7KaxtdhUXSpLE6MQQ9hbU9cp5BYLepFcC6RtvvJGmpiZuueUWHnroIZ599ln+85//UFVVxa9//WsWLVrExx9/zODBgxk9ejQ333wzDzzwAE899RQAjz32GK+99ho333wzJpOJOXPm9MY0BQKBQCBwi81m47fLM3n52xO9fq5mo7nXjl1S34LVBkmhp9tzj0wI5nBJAyaLtc3YikY9kQGqXptLVKA3f7wynWOODoeTW3lVj0kOobiuhRpd770XAsGZYLHaeHz1YQ4Vazod1yvSDqVSycsvv9xm29GjR92OfeCBB3jggQfabEtOTuajjz7qjakJBAKBoJuYLFYUMslVs/JzorxBT32zydVau7fIr9Ex+5VtvHvbGKb1P/f2b4WO+Se2CqRHJATz7o58sssbCVerCPVToVTIqGzUMyBKfc7n0JpfjE1g7YFSarQGUsL8XNvHJtlXqo9W6ZnSqzMQCLpHVlkDK/cWExPkw7D4II/jhDmzQCAQCNqQW63loU8Okv6XjWw4UtH1DhcAq/XcWKXlVmvd2q4dK7NnTYtqm7tty2az2ThR2YTBbOn2+XecqsFksfHFgdJu73MmVDUaAIgK9HFtG5EQBMDjq48w8R+bWbojH4DKRgMRau9emYcTmUzi/TvHsuo3E9o8oGVEq/H2knG8Wt+r5xcIusuOUzUANBs7/3sWgbRAIBAI2nDX+3v5JqsCmcRFqVv96/osZr2y7ayD6aOlDVz28jZ253b0VXbKD5oMZuqbTV0e69usCq549Qdmv7KdW97+kfpO2nC3xtnt7/vsSoxmaxejz5xaxzxCWjVYiQ70JjrQm+yKRpRyGUdLG9AazGgNZqICezeQBvBXKToE7Aq5jCGxgeTUGHr9/AJBd3D6rXclvRKBtEAgEAhcWK02iuqauXtyMgNjAjlZ5d5+1B0mi5XVmSUdtLfnki8Pl/HezgLyqnWuYLen7HcU3LnzL3ZmpOF0i21P2Gw2/rj6MEaLlftmpHK0rJEb/7OLum4E0/sK6wjxU9KkN7M7z32jlLOhXmfEx0uOj1Lu2iZJEv9dNIr1909mSloYp6q0VDTYM8FRAb0fSHtieHwQubXGXnmgEAjOBL3J4koiiIy0QCAQCLqNpsWE1QbBfkr6hftzqqr7rhWf7y/l4U8Psf5QWbf32V9Uz8K3d6M1dF1kVlzXzOOrj5ARbbdEdS699pSjpXbfZGcQ2Zrsikb6Rdh9lgu70EmXNejRNJu4c3Iyj85J573bx5BbreOrI+Wd7lfVqKe4roW7Jifjp5Sz8ei5l9HU6YyE+HVs9z00LojBsYGkhvuTX6OjTGNv0BJ5AQPpEQnBmKw2ss/yAUkgOFv2F9VjcDzQtYhAWiAQCATdpU5nX1oP8VOSFulPZaOBhpaupQ0Ay38qBGBzTlW3z/fpvmJ+zKvr1j7rDpWhNZh5e9EoBkSq2XHy7ALpLEfWubxdIN2kN1FY28ycQZGAXSfdGc7s9UBHgD8xNZQItYp9Xchi9jlkHRNTQ5mRHsF3xyqwnCPtt5NanZFQ/46BtJPUCH+MFqtrLudD2uGJ4Y6CroNduCQIBL3NzlM1yGUSyWF+QtohEAgEgu5Tp7MHzaF+KtIcGdnuZKWPljZwqKQBtbeC7SequyXvsNlsbD1u76D3TVbX2dgDRfWkhvsRH+LLlLQw9hTUoTd1v7CvNUazlROVdtlKRWPbdtk5FfbtoxKDiVCrupR2HCtrRJIg3eF4IUkSY5JC2FfQ0au5NZmF9agUMgbFBHL1kGhqtEa+PNz9bH53qG82EuzbSSAdbv+Mdzqy+xdS2hEd6E2Ij1wE0oILzq7cWobFBRKhVglph0AgEAi6T+uMtFPakNuNQPrjPUWoFDL+fHUGjXozmYWdB5EAJyq1lDfoCfb1YmtOVadBsc1m42CxhuHxwYDdg9hotrInv3vFkM1GM5tzKvnX9yfZX1TPicomTBYbKoWsQ0b6dIY5kMRQXwq7CqTLG0gO9cNPddpRdlRiMKWaFsobWjzut6+wnmFxQSgVMmYPiiI9Ss1L3xw/I9ePrqjVGgl1I+1w0s8RSB8s1hDgrWijpT7fSJLEgDCVCKQFFxSzxUpWWSOjk0LwVcpFIC0QCASC7uNyefBTEhfsi0oh67Lg0GC2sPZAKVcPjebqoTF4ySW2dEOqsfW4fcyjc9LRGS1u3TOclNS3UKM1uqzbxiWHopTL+OFkdZfnMZqtLHz7R+58fx+vfH+CP3xykMMldn30lLQwKhr0bSzujpY2EOKnJDJARUKIn0vaYbJYeembHC5fsq2NK8ex8kYyYgLanHOMwxfZU1Zab7KQVdrAqCT7g4FcJvHk1RmU1LewbHdhl9fUXTxppJ0E+noR5q/CYrVdUFmHk/Rwb/JrdN12PREIzjX5NTqMZisZ0Wp8lQoh7RAIBAJB96nT2gOYYD8v5DKJlG4UHFY1GtAZLYxLDsFfpWBccmi3NM/bTlQzIFLNDaNi8VcpOpV3HHBkKZ06Wh+lnFGJwew41bXTxeubT3K4pIHn5w9hyYJhFNQ288aWU/irFIxNDqHZaKFRb/+xPFXVxNqDZUzrH44kSSSE+FLRqKeqUc+Nb+3ijS25nKzS8qPDYaOhxURxXYtLH+3E/iMs96iTPlHZhNlqY2hsoGvblLRwpvYP5/Utp3osWWlNi9FCi8lCcCeBNEC/CHtjlAtZaOhkSKR9Dt9nV17gmQh+rmQ7pF3pUQH4KOWi2FAgEAgE3adWZ0StUqBS2Jf40yL8OdlFIF3f7Mxi29tLz0iP4GSVluJOJBFag5m9BXVMHxCOSiFn+oBwvs+u9Nj85EBRPd5eMpcOGWB8Sig5FY00dOLzfKhYwxtbc5k/MpZbxiZw3fBY0iL8KdW0MDAmgGhHo5KKBj0Wq41HPzuMn0rOn67KAE53BPzNR5lklTXyr4XD8faSsdeRac5xOEwMbJeRVshljEgIco1rj0s+0m6/e6akoGk2sSm7+wWbnqhzfC6dSTvgtE76QuqjnaSHq0gO8+PTzJILPRXBz5Sc8kYUMonUcH+7tKOLh1oRSAsEAoHARX2zkZBWLg9pEf6U1Ld0urzZWg4CMDM9AujcvWPD4XJMFptr7NS0cGq0Ro/Z74PFGobGBqGQn/7ZGpcSgs3muWmM2WLl8TVHCPdX8fTcQYC9s979M/sBMCgmgGiHnKG8oYUVe4o4UKThmXmDCFfbHwriQ+yB9P4iDffN6Me1w2MZFhfEvkL7OZ1e1oPaZaQBRieGeAz0s8oaUasUxAf7ttk+ITWUyAAVnx84+0DSubrQmbQDWgXSF4G0Q5IkbhwVx578ui5tBwWC3iC73G59qVTI7NIOgwikBQKBQNBN2mtqnQWHJys9Z6Xr2wXSyWF+pIT5eQykrVYb/92ey8DoAMYm27XE41Ls//+Tm+JBg9lCVmmjSx/tZHi8vVDvp3z38o6Pfiwku7yRp+YOJNDHy7X9mqEx3DkpmZtGxbuCx4oGPd8eq6RfhD/zhsW4xjoz0gOjA7hvhj0AH5MUQlZZI81GM0dKGwjzV7oC79bMHhSJ1QZvbD3V4bVj5Y1kRAcgk0lttstlEtcNj2Xr8WpqtWfX5a+uuXuBtPMzvhikHQDzR8Yik+AzkZUWXAByKppcK1++SjlGixVzJy5EIpAWCAQCgYtarbFNO+nRSSEoZFKnzUXq3LShnpEewe68WreZ7M05VeRW67h3WgqSZA8kE0J8iQxQuQ2kc8qbMFqsLn20E28vOcPjg/gpv45mo5lff7iPIxV2l4zqJgMvf3uCKWlhXDk4qs1+cpnEU3MHMjAmgAi1N5JkL2bcV1DHhJRQ15wAwvxVPHfdYN765UiUCpnjPQnGYrXx3bFKvj5SwdS08Db7OBkUE8iC0XH8b0d+m0y71dF0pL2sw8n1I2MxW218ebjzhi5d0dqBpTOGxQcxNimE8Y6HmQtNdKAPk9PCWZ1ZctZt4AWCM0HTbKS8Qe9q+uTrcLHpTN4hAmmBQCAQuGifkQ5Xq7h8YCSf7iv2aMtW32xELpMI8Dlt/3ZZegRGs5WdbooB/7s9l9ggH64aEu3aJkkSY5ND2ZNf20EnfbTM7rAxuFVhnpNxySEcLW3gha9z+O5YJZvz7AHrFwdKaTKYeXruILdBrhOlQkaYv4rvsytpNlpcmfHWLBqfSGKon+vfIxODkSR4am0WBrPFJRVxxx+vSMfHS85zXx5zbSuo1dFstHgMpNOjAkiPUrN6/9llZGu1To10x2x5awJ9vFj1mwn0i1B3Ou58cvWQKMoa9G7btwsEvYXTQz7dEUg77SA7KzgUgbRAIBAIALtXc52urUYa4NZxCdQ3mzy2sK7T2Zt+tA5YRyfZHTzayzuqGvXsLajnl+MT8ZK3/QkalxxCZaOBwnadBI+WNhLo40VcsE+Hc49LDsVqgw8clnFZVXZP6J/y60gJ83PJFjojOtDb9QPqlJp0RoC3F+lRATS0mLhuRCwp4Z7PEeav4tdTU9h2oprKRvvcXLpqD4E0wILR8RwuaSDL8RBRpmk5Y39p5wOO2lvR9eCLjFGJdlvAA0VtizW1BrPHglSB4GxxtqfPaCXtADr1khaBtEAgEAgA0BktGC3WDi4Pk1LDSAjxZflPRW73s2exvdpsUypkTEkLY0tOVZvA51S1PWM8NM59dhno0GTlWFkDA6MD3GaWRyYGoXAEi3dMSqK4wUSdzsjegrpuBcVw2q0iNdyPCHX3dMLjkkOQyyR+NzOty7HOgspdufbugVlljXjJJdI6yQDfMDIOlULGxz8VkV3eyPSXtvLhrjPzl3Y+4LTXYV8KpIT5o/ZWuGwPASob9Ux+YTPPrMu6cBMT9GlyypsI8Ttd8+CrtD+E6gyei61FIC0QCAQCoLXLQ1spgEwmcfOYePbk11Gm6dipr15nctuGemZ6BBWNelcGFk53SUx1k8XtF+FPiJ+Sb49VuLKvZouVnIomj9lbX6WCh2cP4J83DWPOILsWesWeIhpaTN0OpJ3OHeNSQrs1HuDBWWmsWTyRpDC/LscOjA4g2NeLHSftMpdjZY30i1C7NNfuCPT14uqh0aw9WMbDqw5htFgpOEMXi1ptxwecSwWZTGJ4fBD7W3XIfH5DNppmE8t+LHTZBwoE55Li+maSQn1dD+3OjHSL0EgLBAKBoCtqXcVpHYOvaf3DAfdWc3XNRkL9OwbS0wfYM7GtuxzmVuvwU8qJDOio25UkietHxPJ9dhVTX9zC9hPV5FbrMJitDIr1LINYPD2VOYOiGBYXhFyC/+3IB053F+yKKIeX9LhuBt4AQb5KhrUrfvSETCYxMTWMnadqqNUa2JNfx8h2DiTu+MW4BLQGM8fKG1EpZFQ1nZmLR31z510NL3ZGJgRzorIJrcHMT3m1fHGwjNsmJBLg48VzXx4TEg/BOUfT3DYpIKQdAoFAIADgjS2n+Me2Sp5Yc4SSeveNUlzuG26K09Kj7J36Mgs7NhhxSgjaE65WMSw+iE1tAmktqRH+HgsA/3x1BsvvHoevUsFTa49yuEQD2B0wusJHKadfqIpanZGYQG+3mmp3DIsPJNRPyaR+Yd0a3xMm9QujolHPk58fRW+2cMekpC73GZkQzOjEYOaPiGVscsgZB9K1OmOXhYYXMyMSgrA6fML//MVRYoN8ePzKDP5weX9259Wy9XjX7eEFgjOhocVEoO/pRIKPl13a0dKJj36vBdLXX389ixYtYtGiRTzxxBMcPHiQm266iYULF/L6668DYLVaeeqpp7j55ptZtGgRhYV2/Ze7sQKBQCDoGWWaFl765jiHKvSs2FPEBg9Wds7GKu464SnkMkYmBHfo1Gex2tB0kvmcOSCCg8UalydybpXWrazDiSRJTOoXxiOzB1BQ28x/tuWiUshI6YaEAmBghF2mMTY5pFO3jtZMTA0j8y+XE+bfe0HnZEeQvjGrgqsGR3fLIUOSJD79zQReXjCMcLWKakexYnt2nqph16maDtvrdEaCL1FpB8CIeHvB4WOfHeZklZa/XT8YH6WcW8YmEKFW8eHuggs7QUGfQ9NsJMjn9L3MT2XPSOs6acrSK4G0wWDAZrOxbNkyli1bxvPPP8/TTz/Nyy+/zIoVKzh06BDHjh3j+++/x2g08sknn/Dwww/zj3/8A8DtWIFAIBD0jK8cfsQvXxmDSiGjxqGFbk/7xirtGZUYzPGKRhr1pzv1NbaYsNpwm5EGu07aZoOtx6vRGcyUNehJDe86KJ4zKJK4YB9yq3WkRwe06WjYGQMj7MHw2OTu653PBwmhvsSH2DPkndnltUeSJCRJIkLtTbXW0EbOoDOYeXz1YX7x7k/8buWBNq+ZLVYaWkxuVxcuFQJ9vUgN96OqycAvxiUwwyEV8pLLuHlMPFtPVHtcXREIzhSj2YrOaCGodUb6QvlI5+Tk0NLSwp133smvfvUr9u7di9FoJCEhAUmSmDx5Mrt27SIzM5MpU6YAMHz4cI4ePYpWq3U7ViAQCAQ948sj5QyODSAmwIswfxU1HiQCdTqjoy2u3O3rY5JCsNrgQJHm9D6O7nnuNNJgt3iLUKvYlFNJvsMTuDuWdAq5jDsmJbuO0V3GxPrywMx+XDMsuuvB55l7pqSweHqqq9nDmRChVmGy2Khv1W788TVH+GRfMSMTgqjRGiloZRuoaTFhs7lfXbiUmDEggrQIf568OqPN9pvHxAOwam/xhZiWoA/S0GL/2wpuFUg7XTs6k3b0irmkt7c3d911FzfddBMFBQX8+te/JiDg9I3Dz8+P4uJitFot/v6nb6hyubzDNudYd2RnZ/fG9C8a9Hp9n7vGvnhN7enL19iXr81JX7vGiiYTh4o13DkqBL1ej7/CSkFlndtrzCutIkApkZOT4/ZYPiYrMgk27jtBhMUuJThaaZcbNNVUkJ3t3klhQpyKr7IqiFY6MuFNVWRna7qc+/AAK/1DVaT7G7v9mdjMRq6Kl1Gaf4rSbu1x/hgdBAT17LfL1GR3O/nxUDbRPlaWfZ/J+kMV/HJYMJOT/PhNkYZ1u7KYnWaXjJyosT8s6Ruqyc7u6LRysdL+729+ClyXHE5h7skOY0fF+LB8dz6zYy3ILxGLv752f2nPpXx9RRr7/Ulbf/pvxuLorFlUWsmo/u5Xd3olkE5OTiYxMRFJkkhOTkatVqPRaFyv63Q6AgIC0Ov16HSn7XysViv+/v5ttjnHuiMjI8Pt9r5CdnZ2n7vGvnhN7enL19iXr81JX7vGrVtzAbjjsmFoKwuJDw+kVKN3e42Wn7REBsk6vf6B2+oo1MldY4qsFUAZwzP6keGm8yDAwxHNrM/ZwidHG5HLJGaMGYxK4T7r3Z5vhw7q1jgnfe3zc9LkXQfbqvAPiwFDFW/vryQl3I+/3DQOL5mMoO8qKTWqXNe+4dvjyCSYP3moyxP3UuBMPr+7LcH85qNM6rzCmepwlbnY6avfTyeX8vXpCuqAEgb1SyKj1fdJpSjELzAYcC8j6hVpx2effebSO1dWVtLS0oKvry9FRUXYbDZ27NjB6NGjGTlyJNu3bwfsBYb9+/fH398fLy+vDmMFAoFAcOZsyaliaFwg8SG+gL3TXo3WvbSjscVEoE/nxWljkkLYX1SP3qEZdOqqgzuRECSE+nLF4Ci0BjMJIb7dDqIFp3HaBVY1GdhZqKO4roXnrrU/kMhkEqMSgtnncFSx2Wx8ebicCamhl1QQfaZMHxCOj5ec745VAnZ/7i3Hq7rYSyBwj1M21VojDeCnUqA739KOG2+8kSeeeIJbbrkFSZL4+9//jkwm45FHHsFisTB58mSGDRvGkCFD2LlzJwsXLsRms/H3v/8dgL/+9a8dxgoEAoHgzMmr0TEz/XR2JcxfRZ3OiNVq69DxTmswE+/n2+nxZgyI4L2dBew8VcNlGZEujXSIh2JDJ7+eksKGIxXdKjQUdMTZcbGqSc+pWgM+XnLGt2ogMzophE05VdRqDZQ36Mmv0XHP1JQLNd3zgreXnKn9w/g+u5K/zhvEg58cQNNsYs+Tsy701AS9zInKJlqMlm57uXcHjeNe1tq1A8DHS96pj3SvBNJKpZKXX365w/ZVq1a1+bdMJuPZZ5/tMG748OEdxgoEAoHgzNAZzNRoDSSGng5ew/yVWKw26puNhLaze2s2WvDzUGjoZFxKCH5KOd9nV9kDaa0RHy+5q7rdEyMSgrlrcjKjE4N7fkE/Y3yUctQqBVWNBvLqjQyIUrfRBY9Jsr+v+wrrOVCkQS6TuMLR6bEvc/nAKL7JquStbbmcqNQiSXb3hc66RgoufX6/8iC5VVqW3TXW1ZG0qknP02uzeHruIKIc3UrPBGexYWC7jLSvUk6LaMgiEAgEPz+K6uyavoSQ01nmMMdSvzsLvGajGT9V5/kVlULO1P7hbM6pxGazUXcG3fP+cs1Arhxy8blpXCqEB6iobjKQV2dkYDsnk8GxgSjlMl765jgr9xYxqV9Yp3KbvsLM9AhkErz87XEAbDao9OC3LegblDe0kF3eiNVm455lmeRW2wtx/73pJF8frWD7yZ416tE0m5BJoG53D/RVdp6RFoG0QCAQ9FEKHXZoiaGtAmlHFrrajQWe1tB1IA1wWUYklY0GjpY2Un+JN/24lIhQqzhYrEFrtDKwnYWet5ecRRMSUcgkkkL9uLePyzqchPgpGe2wZZyYas9MlmkuHZcSwZnj7Gj530WjUMgk7nhvL4eKNXzisELMrdL26LiaFiOBPl4dJG8+XWSke0XaIRAIBIILT1Gd3QEpMeS0tCPclZFuG0hbrDb0JqtHD+nWzBgQjiTB10fLqWu+tJt+XEpEqL35Ma8OwK0X9V+uGXi+p3RRcOPIOPKqdTw8uz+73tpNeYPISPdlNudUERvkw8z0CN69bTQL3/6RG/+zC0mSiA5UcaqngXSziSA3tR5+SgUVjXrA/QqPyEgLBAJBH6WwtpkgX682mj9nRrp9IN3sqEr370ZGOtRfxYSUUN7cmsuhYg0hviIjfT6IcDwESUB6VNctxn8uLBgTz94nLyM9yv5wUdbQMSN9qqqJOa9sJ7OwvsNrgksHg9nCzlM1zEgPR5IkRiQE86+FwzFbbdw2IZGRCcGcqu5ZIN3QYurg2AFdZ6RFIC0QCAR9lKK6ZhJD2rpwBHgrUMplVHcIpO0/FM5OXl3x5i9G8ty1g7gsPULons8TEQ4LvJgAr25JcH5OSJKEn0pBgLeCck3HjPTW49Ucr2zijvf2cKzMfeMgwcXP3vx6mo0WV7t4gCsGR7PtkRk8fmUGqRH+FNc1u+w5zwRNs4kgN/afQiMtEAgEP1MKanUkhLa1m5MkiTB/JTVNbYsNtQZ7RtpP1T2P5yBfJYsmJLH09jHM+Rm4Q1wMOC3wUoL7fhFhT4kJ8qHcTUb6SGkDoX5K/FQKbn9vD0az9QLMTnC27MytwUsuMSE1tM32hFBf5DKJfhH+WG2QX6PzcATPaFqMbqUdvkqFa8XOHSKQFggEgj6IyWKlTKPvkJEGu3NHB2mH4cwy0oLzj1PakRIiAmlPRAd6U+YmI32kpIFRicE8MnsAVU0GV/2A4NKiuK6Z2CAfj/epfuH+AC4njzNB0+y+IZWPyEgLBALBz4/S+hYsVhsJoW4CaTfdDZ2du7qbkRacf9Ii1USoVYyM6bxpzs+ZaDcZ6Sa9ibwaHUNiA0mNsAdaedUikL4UqWzUExng2SM6JdwPSeKMCw7NFitNerNbjbSfUo7ZavO4r0g9CAQCwSXG71Yc4EhpA/dMTeGGkXFum08UOjyk3Wak/ZVklTW02aZzSjtERrrXKCgoYN++fdx44409GhuuVrHnyVlkZ2d3+5yvvvoqgYGBSJKE2WwmOjqaOXPmoFD0zc85JtCb+mYTepOF7SeqyYgOoKTeHlgPiQskxdFZM68HS/+CC09Fo56RCZ6bOnl7yYkP9j3jQNrZjMWdRtqni3til39JlZWVNDU1IZfLeeedd1i0aBEZGRlnNEGBQCAQnBu0BjNfHy3HWyHniTVHOFmp5am5HW3Pimod1nehHVtyh/mrqNW2bROucyxdiox032PRokWuwHn79u1s2rSJOXPmXOBZ9Q7RgT4AHCzWcO9HmYxPDmVmur0wbUhsIAHeXoT5q8gXGelLDpvNRmWDocuuhanhfmccSGucgbRbjXTn98QuA+mHH36Y+++/n48//pg5c+bw97//nWXLlp3RBAUCgUBwbthxsgaTxcYHd45i+U9FfJZZzB+vGIC3V9ub/ZHSBlQKmUtX25owfxVmq42GFpOr+12zq9iwb2YqL2aOHTvG3r17sVgsSJLEzTffDEBdXR0fffQRzc3NjB49mpEjR1JeXs7mzZv56aefUCgUzJ07F5vNxooVK/Dx8SEtLY1JkyZ5PNeECRN44403mDNnjtvz7t69G7VazdixY2lpaWHZsmXcc8895+utOGuig+xB1jvb87DZYHdeLRWNemKDfAh1WD+mhPmRV9MzizTBhaNOZ8RosRLVibQDoF+EPztza7FYbcjbNVfxhKbZfXtw6DqQ7lIjLUkSY8aMobGxkauvvhqZTMiqBWePzWZj6Y58SkUHKoHgjNh6vAq1SsGYpBBuHh1Po97MpuyqNmN+OFnNp5klzB8Z16FLF7hvyuJ07RDFhuef2tpabr31Vu68807CwsI4deoUABaLhVtuuYU77riDnTt3otPpWL9+PSNGjOD2229n9OjRfPPNNwBotVoWLVrUaRAN4OXlhdls9njekSNHcvjwYQCOHDnCkCFDevHKzz3OjPSmnCrSo9SEq1Xk1+gYHHu6gU1KuJ/QSF+CVDhav3cVSKdFqjGarRTUdv8zbmixuxi5t7/r/J7YZVRsNpt56aWXGD16ND/++CMmk6nbExNcvOwtqOuRz+K5orLRwHNfHmPpD/kXbA4CwYXGZLHy/bFKthyv6now9gfQLcermNI/DC+5jEn9wogK8Gb1/hLXmMpGPQ99cojUcH+e8tDpLtSRha7VnbbAO+0jLaQd5xs/Pz+++OIL1q5dS1VVFVar3ZotLi4OuVyOl5cX4eHhaDQampqaCA62a0QTExOprra3Sw4KCkIu7/qzMxgMqFQqj+cNDg5GqVRSXV3NkSNHGDZsWC9dde8Q3WrZ/8ZRcfxmWioAQ+OCXNuTw/yo1RlpaO48ntEZzOzJr+uVeZ5v9CYLT6892qE24lKi0hFIR3Yh7RgeHwTAgSJNt4/tzEgH90Da0WUg/fzzzxMfH88999xDXV0dL7zwQrcnJrg4qdcZWfDf3XyaWdL14G7y8U9F7C/qfscoZ+epH05Wn7M5CASXEtnljUx4fjN3f7iPe5dldto5y0lWWSOVjQZXMwK5TOK6EbFsO1HN8Yom9hbUMe/1HegMZl6/dQQ+Hn4AVA4ZiKGVl67OaEapkOElF6uO5xO9Xs/WrVu54YYbmDt3LgqFApvN7hBQUVGB1WrFaDRSU1NDSEgIarUajUYDQGFhIaGhdj9dSereEvbOnTsZNGhQp+cdOXIk27dvJyAgAF/fS8shxNtLToifEkmCucNi+MW4BG6bkMi8YTGuMSkOi7Su5B3Pf53NzW/vdutLfanxn225fLC7kAdWHLigSbSzwdn6PbqLQLpfuD9qb8UZdbF0BtLuXDvOWiMdGhpKaGgoGzZsACAzM5P4+PhuT05w8VHXbMRmg/JzJKvIqWjkT58fYVZGJO/eNrpb+zg7T52s0lLe0OJajhMIfi58dbicOp2B312Wxr83nWR3Xg0z0yM73WerI3M9vVVXrxtHxfGfbbnMeXU7AAkhvny2eIyrXbI7lI5g2dQqkG42WLrVHlxwduTm5vL222+7/j1//nzi4+NZunQpMpkMHx8fV9ZZoVCwfPly9Ho906ZNw8fHh7lz57JmzRpycnKQyWTMmzevy3MuW7YMmUyG1WolKiqK2bNnI5PJ3J4XICMjg6+//prrr7++196H3qRfuD8qL5nLJu2v1w5u87rTuSO/RscIDw4QNVoDn+4rseusc2uZPzKu1+b7TVYFSoWsTbe+c0lRbTNvbs1lUEwAWWWNvPr9SR6/Mr1XztWbVDbokUkQ7t+x7qM1MpnEyIRg9p9JIN1iQpJA7d0xkB4aF8QTV6YDGrf7dnnXvO+++4iNjSUsLAzo/lOv4OKl0VGdWqs1djGye7y22a7nO1Kq6fY+rZ/wfzhZw4LR4uFM8POipL6Z6EAf7puRyjvb89iSU91lIL3zVC2DYgJcGmewF9Z8/tuJ5FQ0oTOYuWlUvNuCmdY47fKMllYZaYNZyDp6maSkJB577LEO22+66Sa34++4444O26Kjo5k5c2YH96y7777b7TEefPBBj/PxdF6r1UpQUBCpqake972YeftXozotMosPtnfB60wn/eGuAgxmK75Kea8G0nU6Iw99cpBAHy92PjbTbU1Da2w2G18dKee5L49x+8RkFk/v+jP621fH8JJJLL1tDK98d4K3t+cyd1g0g2ICz9VlnBcqGvWE+atQdGPVbGRCMK9uOkGj3kSAm+C4PTqDGV8vudvvjVwmce+0VDIzM93u22UgbbPZeP7557uchODSoVFvLzRp35ChJ5yqamLDkXKiA70pb9B3aZbupEyjx1cpx0+lEIG0oM9gtdqoazYS1kXGBKC4voX4EB9UCjmT+oWx5XgVNpvNlazQNBsJ9PFy/VtvsrC/qJ5F4xM7HGtEQrDHzJo7vOT2YxrbSTuEh7SguLiYL7/8kmnTpl2yiTN3FmatUSpkJIT4emwjrTOY+WB3IZcPjEQuSezKre2NaQLwzg95NBstNBstHCjWMCqx87/jf3ydw3+35yFJ8NWRsi4D6RajhU05Vdw9JZmoQG/+dFUG3xyr4PkNOSy7a+w5+4wrG/X85qNMMoLhD/GGbt0Dz5TyBn2Xsg4noxKDsdngYJGGqf3DuxxvMFtckrczxWNYbzQaMRqNxMfHc+DAAde/jcZzk8UUnF/0JotLF9Wkt2eka3Rn/1n+Z1sePl5ynnMsnR0q1nRrP7ucw5spaWHsOFmNtZOuQWfDycomftNN/alAcLYs+7GQKS9sQdPc9d9WSX0zccF2/emM9HBK6ltcbW2rmwyMf34T6w+Xu8YfKtZgMFsZnxJ61vN0l5FuNlqEh7SA+Ph4Fi9ezMCB7gtV+wrJYX4cLNZQ3dQxofR9diUNLSbunpzMhNRQSjUtFDsaHHWGwWzh26yKbtf+1OmMfLCrgJnpESjlMjYcKe90vMVqY8WeIuYMiuT+Gf3IKmt0NRLxxLHyRixWG6McD9qBvl48MDONHadq2H6yplvz7A7bT1RzoEjDx4c0XL5kW5fz6gndTdQBDIsPRJLotk7aaLa6JG9nise9rrjiCq688kp+/PFHHn74Ya644grXtr6OzmDG3OoH5lLGbLHy4e4Cxj+/iYdXHQKgscVhfeQhI/2fbbm8+0Net46/O7eWGekRTE4LQy6TOFzSvYrgsgY9MUE+TE0Lp77ZxJHS3qkk3naimo1ZFfyY33sZBYHAyYYj5bSYLOwt6PzmrTdZqGw0EO8IpJ2a5805dg10ZmEdepO1jcZvd14tkgRjkkPOep6uQLpVRlprMAsPacHPhlvGJlCjNTDn1e3sbpdx3n6ihmBfL0YnhTAx1f7guiu386BzV24No//2Pfcsy+SeDzMxmLtO3izbXUiLycITV6YzJS2Mr4+Ud5pUOlraQKPezNVDY5jULwybjS5dRY46fltbu5b8cnwC8SE+PL8h+5zFOllljfh4yfnTtAj7b3o3Y4EzoaJB32UzFidqby8GRKq7bYJgMFtReZ3jQHrz5s1s2rSJV199lc2bN7v+9/e//71bB66trWXatGnk5uaSnZ3NggULuOWWW3jiiSdc1j6rVq1i/vz5LFiwgC1btgB2A/o777yTW2+9lQcffJCWlvNbLWuz2bh8yTbe2pp7Xs/bG5gsVu5ZlslTa7PQGcyubFejMyOtNbiqtJ2U1Dfzz2+O897Ogi6Pr2k2UqppYXBMIN5ecvpHqjlUounW3Mo19oz0tP7hKGQSXx+tOKNr6y7OKt8f80QgLehdGlpM7HMEvvsKOv9xK3MU+saH2ItsY4N8SI9SsyXHnsna77BtOl7R5Nrnxzy7PjrQjc/pmeIqNrS0LTYUGmnBz4XLB0by5QOT8VXKefGbHNd2m83GDyermdTPnhzqF+FPmL+qQ7Ddnle/P4lapeCBmf1oMVnYX6jpcg4Hi+tJjwogLVLNVUOiKWvQc7CT39Adp+zB/MTUUEYkBKFSyLqc1+GSBsLVKiIDTkstVAo5T16VQU5FE69+f7LLeXaHrLIGBsYEMDTKx/Xvc0mz0Uyj3tztjDTYJW/dXSXvlYz0vn37+OSTT/jjH//IJ598wieffMKKFSt47rnnujyoyWTiqaeewtvbfsGvv/469913HytWrMBoNLJ161aqq6tZtmwZK1euZOnSpSxZsgSj0cibb77JNddcw8cff8zAgQP55JNPenRhPaWiUU9Zg57MM7ByuxixWm08+ukhNudU8ey1g7h+RCz1juVmZ7Gh3mR1ecc6+e+2PMxWG6WaFuq6kH4cK2sEYFCM3R1gWFwgR0obOgTn7TGarVRrDUQH+hDsp2RyWhjrD5V1uV9PqHAF0n3DC1Rg/6G78/29rD9U1ivHt1htvPLdCUrqu17Kbc2OkzVYrDYCvBXs6SKQLq63B9JOaQfYs9J7C+po0ps44Lj/nKi0B9J2fbSG8clnL+sA9xlpoZEW/NxIi1RzxaAojpU1uh4qj1c2UdVkcOlqJUliQmoou3JrPf5GHa9oYk9+HbdNTOLeaakoZFK35B35NTpSwuwOIrMGRuIll9jYSVJpV24N6VFqwvxVqBRyRiUGd5kkOlKqYUhsYAct9BWDo1kwOo43tp5ix1lKPKxWG8fKGu0P+t5yogO9yXLEB53RpDexam9xt+z4KrppfdeauGAfGvXmbkk7eyUjHRAQQHV1NUajkerqaqqrq6mrq+PRRx/t8qAvvPACCxcuJCLCvlyZkZGBRqPBZrOh0+lQKBQcPnyYESNGoFQqUavVJCQkkJOTQ2ZmJlOmTAFg6tSp7Nq1q0cX1lOc/dlPVl7a7UPXHirli4NlPDpnAL+akESwr5L6ZhM2m82VkYa2BYeVjXo+2VdMWoTdY/NoF3KLrHaB9NC4IDTNJoq60JJVNuqx2SDG0cp17tAYSjUtHOjmk+OZ4HQHOVra4OrcJri0qdUZ2ZxTxTdZvbOKkV2t51+bTvKHVYfOSLu/OaeKQB8vFo5N4EhJQ6c3b2eQ7sxIA8wYEI7ZamPL8WoOlzTgp5RTqzNSozVwsFiD8RzpowGXV3SbQFpIOwQ/Q4bGB2EwW10PrT+csAeVU9LCXGMmpIRS1WQgz0Nx4vKfClEqZNw0Oh5/lYIRCUH80EVwarJYKa5vISnM/jAd6OPFmKQQth13H4DrHZKxSf3aziu7otFjTYbOYOZUlZYhse7dOZ6ZN4jUcH/+svZop3PtisK6ZnRGC4MdLiB2m72uM9Kf7ivhj6sPc90bOzlZ2dTp2O52NWyN0yavO8YKBrOlxxlpj3fN/v37079/fwDuv//+bh9wzZo1hISEMGXKFJdXZlJSEs8++yxvvfUWarWacePGsXHjRtRqtWs/Pz8/tFotWq3Wtd3Pz8/la+mO7Ozsbs+ru+zMtn/4pZoW9h/OwqcbTygGs5WlmXVclxFITMDZL7s60ev1Pb7GrYdr8FZIzIg0kp2djVFr/yE+eOQYJZWns2WZR0/QHGH/Yn6wvw6zxcoDYwP53ZdaNh88SbjF881gV04Vob5yqorzqALUJvuXdcNPx5ie7O/xmo4eti+jmRqqyc7Wkaiw4iWT+GDLUXzGhrndz4nRYsNgtqKUS6gUXX82xbVNhPnKqWm28PkPhxgd2/vNBc7mc7vYuRiu7XCF/eHoSFFNr8wls9j+EL0nv45X1u/hqv6e/ZidWG02Nh0rZ0S0N7FezZitNtbuOMSwaPf+6AdP1qKQQW1JPpoye6bI12rDz0vGqxuzMJitzEhTs/FkE9/vyeJAeQsyCQJN1WRn93x1xfn52Ww2JKCssorsbPsDplZvpkWrueCf79lyMXxHe5u+fI3n+9r8HImlb/fmIOsfwNcHy0kI9EJTVoDGsegViX3Mmh1ZXJPe9n7QYrLy6b4ipiT4UVmUSyWQHgQfHWzgxwNHCfRuK5dyXl9powmL1YbK2Oi63vQgG//LbeKHfUcI82sbnh0ob8FotpKganGNj5Lbk1KfbT/MpES/Dtd2tFKP1QbBtkaP7+moSAWfHdVw7NixHjt4bMu33zN9DLXoFTYilEY2Ves4cDgL705iqAMna1DJJco1Oq761w/cPDSImwYHoZRLmK02/rG9ihsGBpIR4c3+XHssqKspJdvUvWLOFo09YbHv6HG04Z0H4JpGHQpZz+LKLtMPe/bswWKxdKv1KMDq1auRJIndu3eTnZ3NY489Rk5ODp9//jlpaWksX76cf/zjH0yePBmd7vTTnU6nQ61W4+/vj06nw9vbG51OR0CA5x+x9j6a54Llx48A9qUSeXAsGY5Wk52x5LsTrM9pJCo8lCfHnbs5ZWdn9/ga63b9RFpkgKvyekBTEeyvIyIhBSlTh0Kmw2y14RcWTUZGFAAnt+5iREIw8yYP5+Xd9VQaVZ2ev+TrKoYnhLrGpJqtyL4qpUURQEbGAI/XpJQCgHLGD+1Pvwj7Q9OMQy3sLtawZFG6R//Pghod1766HaPZSoC3gjW/neja3x0Wq426lnxum5DEsh8LKDX5sSij903oz+Zzu9i5GK5tX0MhUE5Zk5l+/Qec8058RzeWMSQ2ELW3gvf3a7jtsuFdWjkdKWlAo8/n2rH9mJkeyTObK6iyqcnISHM7vuXAfuKCTQwe1NYZYXq6nq8clfuLZw9l48md6FXBHKhqYmxyCGOGDXZ3uG7T+vPzUhQSEBxCRkYGJosVkzWPhOhIj3O+VLgYvqO9TV++xvN9bek2GwFfl1Nt9SUptT9Zywv45fjENnNIt9mI3lxNQbNXh7mt2V9Ci8nG4tlDyEiyFwJf71fPsoO7qJaFMD4jps145/VV5FQBxUwc0s+1342Bjfwv8wfKCaJfTBjPb8jhL9cMJFyt4ouCbBQyiRunDnOtHKWmWfnz9xWUm33JyMigpL6ZtQfLWDwtFZlMYndtPlDGVeMHE+Ehk5tSlYvliIbE1P49XpFaW5CDl7yaOeOHknvyONOGRvPxoUxsQTFkdGLL2bh7D/0i4b07xvDcl9l8dLCMKqOSt381mr0FdewszGd4ShTzM9LZXHEKqGbyyMEeO7a2x+ivgU0V+IfFkJHRuUe/fFMtwX7KTr97nnyku/wFqq+vZ8qUKSxYsICbb76ZhQsXdjp++fLlfPTRRyxbtoyMjAxeeOEF4uLi8Pe3ZygjIiJobGxk6NChZGZmYjAYaGpqIjc3l/79+zNy5Ei2bdsGwPbt2xk1alRXUzynnKrSEuZv96A80cVSA9iDu/9ssxcmbvGwJOOJ7tjp9JTcKi39Ik5nhZ2+mvU6I416Mwmh9syssymLwWzhSEmDy8NycEwgRztZmmkxWsit1rpkHWDXXcYG+1BQ2/l1lWmcWqfT2borh0RR1WQgu9yzrupQiT2rft8Mu2/mM+uOdaqrrm4yYLHaSAn3Y1hc0BkXHGaXN55R23PB+SHXIb8yWWwUeFhq7SnNRjM51Xom9gvlmXmDaDKY+eJAaZsxDc0ml4Wkk+OOe8WwuCACfezV4ns70UnbPaQ7ro7MSLfL4SIDVAyNCyTY14vvsis5Uanl8oFRZ3t5bVDJZZjM9r8fZ62EkHYIfm5IksTQuCAOl2hYe7AUg9nK7IGRHcZMSA1ld15tB7nXt1mVRAV4M7JVwDjU8SC+/YTnmMDpYZ0cdjqTnBGtJlyt4oeTNTy/IYd1h8pYuiMfvcnC6swSpvUPb/M3qlTIGB4f5LrXvLezgJe+Oc732ZUAHC7REBmg8hhEw+mW2JqzsKvLKmugf6TaVXvhjAu60kkX1TWTFOpHhNqb124ZwZ2TktmcU0Wj3sROR2GlM14oqW8hxE/Z7SAaIEzdfWlHrxQbOvnPf/7Dp59+yiuvvMKSJUt4+eWXz/gkf/vb33jooYf45S9/yccff8xDDz1EeHg4ixYt4tZbb+W2227joYceQqVSsXjxYr766isWLlzIgQMH+OUvf9mjC+spp6p0TO0fjlIhc+mlO+Ov67NQymXcOy2FU1XabgfHXxwoZcqLWzjYC7pgncFMWYOe1PDTf6DBzj+WZhONLSaSQ+2vOb9gR0sbMVqsrpvB4NhAiutaPGqvcioasdpgYLvOSEmhfhTWdh7clDe0EOCtaHNDGON4Iu/M87Ggxv7ePjAzjT9c3p8dp2r4Jquy0/MADr/qcA6VaFwFkt3hsdWHuW/5/l4pghT0nJNVTfg5bqYnznEtw76CesxWmJgaRv9INcPiAvm8XSD96w/38cinh9psK6rVIZNOFw9OSQvjx7xaSjXuXYdK6pqJC+4o+5jmKHAaER+MJEn0j1Sz85T9AbD9j/vZolTIMFrsAbTOUT/gJ1w7BD9DhsQFklPexDs/5DEwOoCxbiwmJ6aGUaczcqLqdIJNb7Kw7UQ1lw+MbNORUCGXMXtgFBuOlHv0Uy6o1aH2VhDid7p5jCRJTEkL4/tjlaw7VIafUs7HPxWyck8RNVojd05O7nCcMUkhZJU1ojOYXYH7uz/kU1LfzMasCialdi6XDPSxn7873vfusNlsZJU1uvTRYHchCvTx4lgnyTizxUpxXbMrqQdwxeAozFYbO07WuJrglDoKs8s0LcQGuZfKeSLU8d7WuPEKb4+92PAcN2T59NNPAVi5cqXLtcP5v+6ybNkyUlNTGT16NCtXruSjjz7ivffeIy7O3mpzwYIFrF69mjVr1jBnzhwAwsLCWLp0KStXruStt97C17f3Na1OGppN1GgNDIhUkxLm12VG+lSVli3Hq1k8PZWbHZ35th6v6vI8epOFFzbadcLdMQs/UtLAFa9uZ84r2/nt8q79KZ1PuqnhpzPSwY4vVH2zkSa9mVB/JQHeCpeXtNOvdmRiEICrOOFoqfvA01mI2DojDfZAOr9G12nwWaaxe0i3JjbIh6gAb5d9mPvr0hIb5IO3l5xfjk9kQKTa9T6643SVrw+3TUxErVK0sTnqjBqtgcMlDZQ36MntpI2s4PxzqkrL9PQIZNLpTPC5YlduLXIJxiTZHyivGxFLVlljO/eM+g5/F0V19nbfzozMHZPsP3hvbjnV4RzNRjO1OmMbxw4n4WoVT10zkHumpQAwIMouXUqPUrvNYJ8NXnKZq9iw2WgPpH1FRlrwM2RobCBmq43cah13Tk52qxWe4PCT/nRfCR//VERhrY4fTtbQYrIwZ1DH1aK7JiejM1pYsafI7Tnza3Qkh/l1ONe0/uG0mCyE+Sv576LRNOrN/O2rbAZEql2e1q0ZnRSMxWpjw5FyTlZpSQn3Y09BHfcuy0RC4uE57mWWTpx2mj1toFLVZKBOZ2Rgq1hAkiRHwaHnxFV5gx6z1UZiq/vayAT7it5XR8pdzkXOZESZpsVlUNBdvL3kqL0V1Haj+VyvZKSjouxfjJSUFJKTk9v8r69yyuGz3C/Cn/6R6i6zXZ9mFiOXSdw0Oo7kMD8SQ327Je9YuiOf8gY9KoWsS2eMJr2J+1fsp05nJCJAxYYjFZ3a4wAuv+jUNtIOZ0ba6Oo9H+avcnU3zCysJyHElwi1/YvqDJDf3ZHHm1tPuQLuhhYTD6w4wF/XHyM2yKdDVi0x1JdGvRlNs+c/yjKHh3RrJEliVFIwmZ0sh+fXNruWwRRyGdeNiCW/RufKprWnvJVdTpCvkvtm9GPr8eoujfWBNtZFO7rZpUrQ+zTqTVQ2GhgUE0BiqF+Xld5nyu7cGtLDvfF12MBdMzQGuUxyyTuOlTdittooa2hpY9lUVNdMQqsfhJggH24eE8+qfcUdbPRKXNZ37rMrd05Odq0M9Y+0B9KXn+NsNNgz0iaL/YFXZ3BIO0RGWvAzZKijFirMX8XcYdFux8QG+ZAY6svSHfn86fMjzH9zF+/vykftrWBcSscM9sCYACb1C+X9nQVt3HGcFNTqSArtWCA4JS2cIF8vHr8yg8lpYYxJCsZstXHn5CS3Af6oxGBkEvx7s90P+qUbh6FWKcgqa+T+mf26zOI6Y4OGTn6zO8MptUuLaGswMCw+iGNlnh1FCh0S0MRW74FCLmNq/3C+OlyOyWJjaFwgFY16zBYrpZqWDgm47hDur6K6m64d59z+zmlBd9VVV6HVajl69CgGg4F58+b16ESXAs4vRL8If9Ii/CnVtHgM0swWK2v2lzJjQAQRam8kSWLGgAh25dZ06omoaTby1tZcZmVEMrlfWJeB9FNrsyiua+aNX4zkgzvGkhzmxwe7Cjrd51SVFplkD2qdBDmWb6q1RpqNFgJ8HIF0k70pS2ZRvUsfDfYM9rjkELadqObFjcdZubcYgBV7ilh/qIzbJibxyb3jO/xhO28MBW7kHeUNLTy7uYJj5Y1tnl6djE4MpqxB72pW0RqbzUZ+tdZlFQSnAxFPy+cVjfaHFeeN4raJSUQHevPPb467Hd+abcerCfVTkhDi6zLBPxO+zaroli5LcGacvmmrSYvw71YdQ3ex2WwcK28kI/x0YWG4WsXkfmGsPViG1WpzmfvbbG2/4+0DaYDfTu8H2L3ZW+O0xeoX4d7ZpjXjkkMI9vVi3rCYLseeKV5yyfUD75J2iIy04GdITKA3Y5KC+d1l/VApPD9M/nvhCP59ywhW3TsBSYKdp2q5LD3CY8Hz3VNSqGjU89WRtp73BrOF0voWksI6BtIhfkoO/OVybhxlX7n/4xXpzMqI5NrhsW7Pofb2Ij0qgOK6FodWO4h7p6UwLD6Iu6d0nfh0ZqR7qpF2l7gDuGpwNGarzaNNqfP+2TpOAZiZbpe3ecklrh0ei8Vq43hlE81GyxlLOwBC/ZXdlnb0mkb68ccfp7KykgkTJlBYWMif/vSnHp3oUuBUtRalQkZcsC9pjkyQJ530thPVVDcZWDA6zrVtav8we1vfTgrUPt5ThNZg5uHZ/RkcG0hutda1rNqeSq2Jzw+Usnh6KmOSQpDJJBaNT2R/kabTADy3WktiqF+bG4JSIcNfpXBpuAO8FYT6K6nVGSmpb6G6ycDIxLbVtZ/cO4H8568mNsjHFbAcr2giOtCbv1wz0O3StPPGUOim4PAvXxxlf1kLj1+Zzu8v69/h9dGJ9qd6d/KOOkeRZHLY6T9WZyDtqXFGeYOe6EBvV7Dv7SXnnqkp7C/SdKpNt1ptbD9Zw9T+4Q6ta12bDnBdoTPaO0q+343ukIIz42RV21WjgtrmbrXiNZqt/OnzIxR1Ugjb0GLCZLER4ts2mLx+RCylmhb2FtRxqFiDUwqZ55D86AxmarTGNlo/sGelp/WPYGerFRCtwcybW04xMTWUQTHuvV1bkxap5sBTs133o3OJUiHH6Phe65zFhqIhi+BniCRJfPqbifxqQlKn44bFBzFvWAxjk0NYdtc4BkYH8IvxiR7HT+8fToRaxfYTbZMxxXXNWG2QHOZertU6QTUmKYR3bxuNdyf6XacUbWr/MCRJ4v6Zaay9b1KnDwVOXBnpHgbSp6q0+KsURKjbOhsNjg0gKdSXdY7GWaWaljZF2kV1zSgVsg6+0NP6RyBJ9joRZ7Jhr6MNek8C6TB/VTd9pHuhIYuTmpoaHnnkEWbNmsVjjz1GaWlpV7tcspyq0pIS5odcJpEWaf8APWkwV+wpIsxf6aqyB3uBHkBOuft9TBYrH+4qZFK/UDKiAxgcG4jVhscCuPx6+5LIzPTTy7o3jIrDVynnw90FHq8jt0rXptDQSZCvl6sQUO2UdmgNrhajozzY1AyIUrtaFR+vaHItN7sjPsQHSTqt024zr2od4+J9+c20VJeWtDXp0Wp8vOQuvXZrnE+vKa2e4GNdgbSHjHRDC1HtJCQ3jorDX6Xg/Z35Hq/hSGkDdToj0xyBtNZgPqOi0Cqd/cHI+aQuOHfkVmlRymXEB/vQP0qNxWpzBbSdcbSsgY9/KuKLg57vX86bbXA739fZgyLxVcr54mAph0oaXA0R8hyfb7HjQa59Rhrsy7sFNTpXc5b/7cinVmfk0S50i+cDZauM9GmNtJB2CATdISM6gA2/n+IqlHeHJEmkRwe4ElFNehPv7qvl3R/svz/upB09YYyjONLZjfFM8PGSo5TLOpVjdkZutT3eaL86LUkSc4fFsDu3li05Vcx6eRvPfXnM9XphrY6EEN82RZpgz8g/MnsAi6enugLnvQX2mCDWgxyuM8L8VV1qpG02G0azFdW5zkgbjUaMRiNxcXEcPnwYgJycHJKSknp0ooud6iYDO0/VuLKySaF++CrlZLnJ/O4tqOP77Cp+OT6xzZJOuL+KUD8lORXuA+MNR8qpaNRzl6Py9nRBn/vscpHG/sV2BvVgX4a5dngM6w+Vu83EmS1W8mt0bQoNnQT7Kl1dBwN8vAj1V6JpNvHm1lP0j/QnPcp9gNw/Uk1etQ69ycKpaq2rAModKoWcmECfDs4dNpu97Xi4n+eMl5fcbuWz8WgFj312mJe/Pc7BYntHTGew1NoqKNxfhUohcwXSWoO5jRatTKNvY7EH9geIG0fF8dWRcrYer+LptUddDwlOvjtWiSTZnRcmpIYhk+iyS9W6Q2UsczzcVDsCaXcPE4Kz45SjmEYhl7m+rx//VITVarfC25zj3sXlhOMzPlyi8Xjs6ib7zTbQp20w6atUMGdQFOsPlZNfo2N8SijRgd6uLmentX5uAuloNVab/YFcazDzzvY8Zg+MZEQn3qrnC7tG2v734uz66S+kHQLBOSUtwp9TVVosVhvfHatkdVYDK/cWo5TLSHHzO90T5gyK4sUbh3KFm6LHrpAkiQAfrx5npHOrtW7jDYB5w2Kw2uCuD/bS4nA4cRoRFNY2tyk0bM19M/oxIz3CFUjvcdRO9UQjHeavQtNs6nRV2bky11PXDo93zSuuuAJJkrDZbPz0008olUqMRiMqVeeNCS5V3t+Vj9FidQW5cpm96vRIuyDXarXx3JfHiArw5p6pKW1ekySJjOgAcio6ZqQtVhvv/JBHSrgf0/uf9ooN81dyxIMzRqHGSHSgNwHebbslzkyPZMWeYvYXalyVxE5K6lswWqxuv9hBvl6u6wnwVriaTBTUNvPur0Z3eDJ0MiDKH6PFyvYT1RjN1g5FBe1JCvPt4CVdqzNiNFs7DaQB5g6L4YWNOWw5XkWtzshrm09x24RE/FQKFDKpTYGWJEnEBvu4pB3Xv7GTcSkh/O26IVitNiob9R0y0gC3T0zig90F3P7eXgBMVht/v34IYM8YLPuxkMvSIwl1vD8jE4L5/lglf7i8oxzFyeubT6LVm1k0IYmaVoG01Wrz+L46KdO0EOavcpulF5zGarVxqETDlDR71iUtwp/bJiTywe5CDpc2kFXagNlq46vfTe4gm3AWDh8qabB39XNTtFOrc5+RBrt7h9MGb0R8EDtP1bge7pxyKXcZ6Yxoey1AdnkjtVoDTQYzt09M6snln3OUChkGkyMj7Sg29BXFhgLBOaV/pD8Gs5WS+mYOlzSgUkhseWQGJovVpU8+W7zkMhY4nMN6QpCvFw0tZ25/pzWYKW/Qd9BHO0mLVJMRHUBJXTM3jY7nfzvzXYF3UV1zh/ilPT5KOSF+SqqbDKgUMped3ZkQprbvU6s1uo0HAFcC7py3CN+8eXOPDnixse1ENf4qOaMSPS+/NOlNfLi7kCsHR7UJQAfHBrJiTxFmixWF4w1ee6iUwyUNLFkwzFXZ35r0KDXLfixssw/Aku+Oc7S0kX8tHO4KrCRJYnBsoMee9IUaI2mRHXWU41NCUMgkfjhZ3eGLeMiRcXOXNW7tV2kvNrT/e3RiMJdlRHQY78Qp5Vh/uNzjsVuTGOrH147ubE7KHabqXQXSt45L4NZxCYC9MPO5L7NZ9mMhGdEBJIT4tnlPwe7b69R4n6zSomkx8dy1g6nRGTBbbR3cQcCu437yqgxMFhvbTlSxJ/+0U8iHuwtpaDHxu8v6ubZdMTiKv32VTUGNzm1xSEOziROVWiTJXkTizEgbzPZK485sy05UNnHNv3fw4OVpruI0gXuOlDZQozW6vJYlSeKZeYOICPDm1e9PcMPIONYdKuODXQW8eOOwNvs6l1armwxUNhqIDFDR2GIm0Pf0D5mzICXIp2MwOSk11LFEaGBwXCAp4X6sO1iGzWajqK4ZtbfC7Y9ifLAvfko52eWNnKyUoVTIOtQiXCi85DKa9Pbvqs4p7RAaaYHgnOKsbzhRqeVwiYZ+IaoeZVZ7kyAfrx5JO5zyNk8ZaYB3bxuNxWJDkuB/O/PZcbKGAB8vmo2WbklbYoN8qNMZiQ3y6VEL81C/001ZPAXSBrMzI91LGulLGaPZyu9XHuD/vuq8d/rHPxXRpDfzm2mpbbYPiQ1Eb7K28RH+LLOElHA/rvNQQZseHYDBbG2Tkd2cU8kbW3K5eXR8h8rbwTGBnKzSujSUTixWG8UNJvq7edJTe3sxMiHYrdzg++wqwvyVLr12a4J9TwfSam8FA6ICCPb14omrMjr9gqaG+yOT4HuH5KErt4HkUD/qm01t7HSczhoRXQTSrQnyVfLEVel4e8nJKmtsI+twEhfsQ0l9C0dKNYA9UMoubyK3yv6ZtZd2OLl7SgqLp6cyrX8Ep6q01GgN6Axm3v0hjxkDwhkaF+Qae+UQux3S1x5sB53FpTYbFNe1uAJp6FzeYbXaePLzIxgtVn7K82z7156cikZG/+079nViFXgpcLyiiR1dSGZas+V4FZLUVgcoSRL3zejHsWev4IUbhzJ/ZCxfHCyjrp0m7nhlk6tu4FCJhv9uz2PSC5vb/N3VaI3IJFArO94WFXIZd09JZvbASAK8vUgJ86dRb6ZOZ7QvUYb6uv0bksnsGsmc8iZ25dYwOjG406Kh84myjY+0BW8vGfIuVk8EAsGZ4VzBzS5vJKuskbTQM8+q9jaBPZR25Losgz0HxLFBPiSE+hIf4ktiqC87TtW67vvuftPd7Q8900cDhDsy0p0VHJ5tRrpPB9LbT1SjcWQLPTUIadSbeGtbLlP7tw2e4LSG2SmH0Jss7CuoZ3r/CI/L9U7dZmud9P85zNT/eu2gDuNHJARhcSxZt6a4rhmjxdZGH92aKWlhHC1rcPk7g/3LsPV4FTPTI9z+IAa1yr4F+HiRHObH/r9c3sb2zh3eXnKSwvxoMVlICPHtMmvl1IpOfWkL4/++iUa9ydVlMOwMAmmw65vudsht3GWD44LtT6s/5tXhjGO2najms8wS/JTyLpeOnP6fe/Lr+PinIuqbTTxwWVqbMbFBPgyLD+Lro+VkFtZz7es72qwitG6qU1Sno7rZ7HoP8jopOPxsfwl7C+qJCvDmQFF9h9az7rDZbPzli6PUaI2sPVjW5fiLmafWHuWeZfs8Wky2Z8vxaobHB7VZWXHirFW4fWISRrO1TROEep2R6iYD1w2PRSGT2F9Uz3s789EazK5CQbDfaEP8VB6Dyd9MS+W/i0YDkOwIyvNqdPbuXJ2sOmREqzlcqiGnoslVqHgx4KWQnXbtMJhFNlog6AXU3l5EB3qz4Ug5BrOV/mFn1lTkfBDo27OMdG6VDrlMIiGke0WTk/rZO77+31fZDIsP6tb90Jm9j/GQFOsKp4S1RutZutLrGemlS5dSV3dpZr6cFfpag9mjs8Pb2/LQNJv4o5sq+pRwf3yVco44gtz9RfUYzFYm9fMcnPWL8Ecuk1zOHXnVWnKrddw6LsFtJsoZxO7Nb/seO5eiPdleTekfjs0GOx2OG2AvgmzSm5mV4b55gzMjLUng7/jR7O5SyQDHPDpz7HAyLiWUa4fHMCoxmIpGPUdLGijTtKBSyAhUnfkX9e6pdk/MKWkd/+icFnwbjpSTFmEvmPzycBlfHi7j+pGxXRZPDYkNxFcpZ8epGv63M5/xKSGuZhituWpwFIdLGvjV0p84VNLAv74/6XptX2Gd66m5oKaZap2ZoXFB+KsUroK09thsNl797gQjE4J46PI0GvVmj2Nbs2Z/KXsL6gn29WJzTlW325dnlzdy6zs/9rgNbFdszqlk3us7+O6Y55btrWloMbGvsJ5mo8Wjz2hrarUGDpdomDHAswQJ7H8vk/uF8eHuApefu/NvaUhcIP0j1Xy0u5DKRvsDaGubxhqt0SV36opUhw3jnvw6Suo7l+9kRAegd2iRu3qwO5+o5KeLDVtMFnwukky5QNDXSItUu2qn+lpGOjHUt9v1PZP72V2wGlpMvHDDkG6tgDkz0T3NSJ8OpLuTkT7HLcKd+Pr6ct999/G73/2Obdu2dfuH+0KjNZj5PruSwbH2Yh93BYBVjXqW7shn7rAYt1KI9gWHu07VIpdJjE32rLf29pKTGu7nykh/n20PLDxpkIN8lQyIVLO3neXbSQ/dgpwMiQ0k0MeLba06KX53rBKVQsZkNwGn/Vz2jLRapeiyAK49zgB6QDcC6UAfL/61cAQv3TgUgKyyRldb8J5onAK8vVh73ySmuwmi4lpZ4A2NC2LagHCyyhoxmK3cOtazv6cTL7mMUYnBrNpbTHmDnnunprodd+Vgu7wjXK3ilrHxfJddyakqLSaLlYPFGi4fGIm/SkFhrY5qnZmYQG9Swu3t0jML67nhrV1tPDSzy5soa9CzcEyC62GqM/9xsEtB/rExh+HxQTw6J51STUuX3TedvPr9CXbl1nbZFbOnbD1ezeGSBn794T7+sOpgl/eJH05WY7Ha8PaSsWb/aUu63bm1/HZ5Zgcnm+0nq7HZ6DKQBvjt9FQqGw2sdGSlnYH0gCg1w+ID0RkthDs8T50uNmC/0Yaru1dMHRvsg7eXjJe+OY7RYqVfJxpBZ8Ghv0rBUDf3mQtF6xbhBpMV7x5mYwQCQec4JZpqbwUxAeemwPBcEuSjRGswn1G/BLC7KHWmj27PxNRQfJVyHpiZRnpUx6Zs7nAmqXqqK/dTKfDxkrdZvW+P0wFN1cOC/y73uuWWW1ixYgUPPPAA69atY8aMGbz22ms0NHTeke9C821WBXqTlUdm2zPNx91Y0n22v4QWk4WHO3FjGBwbaG8LbLGyM7eGoXGBqL07/0NIjwog25GR/u5YJQOjA9w2L3EyOimY/YX1WFot7Z+obCLcT+7xXHKZxOyBkXx1pIxarb074ffZlUzuF+ZxidaZke5q/u5wFhj276LQsDWh/iqiArzJKmugrKGFmKBzv6TV2sVjWFwg0xyODiMTgtx2T3THuOQQzFYb/SP9mT7AvQ9nQqgvH/96HJ8tnsjDsweglMt4Z3se2eWN6E1WRiUGkxDiy4FiDWarvS15SpgfedU6nvvyGJmF9WS18gvfcrwKgOnp4aSE+RPgreBAkabTedZoDVQ3GZg/Mtb1YLbJg91ba/JrdHzryBRv7Eb2tyeU1LfQP9KfxdNTWbO/1NUJ0xObc6oI8vXi7skp7Myt4VCxhns+3Mct7/zIhiMV3P3BPqpbdaPaklNNmL/S1bq+MyakhjI2OYQ3t+aiN1k4UalF7a0gKsCbIbFBANwzJQV1qwZFYH9/u1sVLpdJvH/HWJYsGMb7d4zx2HUM7HIvSYKxySEdimUvJErF6UC6xWTBRzh2CAS9glOiOSQ2EFkPkkm9jTPJ1ngGWWmzxUpBrXurXc/nUfLTny5rU8zfFUPjAokN8mFEQlC392lPmFrZqbTDlZHurUC6sbGRFStW8Je//IXGxkaefPJJ0tLSuPfee3t0wvPF99mVRAd6M61/OPEhPmS7yUifqGgiJtDbrfbWibPg8IPdhRwuaWBSateansGxAZRqWvjox0IyC+uZNdC91MLJ2OQQtAYz2eWnA63jFU0kBnX+o37vtFQMZitLd+Tzyd5iSupbXIVx7nAG0gE9sNyZ2j+c2ycmeQw0PTEoJoBj5Y2UaVp6rHHqDKeXNMDQuCBGJ4UwqV8ov2unc+6MyY7g+96pqZ1mzCemhhHmryLMX8WC0fF8mlnM3R/sA+wPQ0lhvq5MakyQDynh9jbzzmYurQsPt+RUMSQ2kAi1NzKZxPCEYA50kZEua7A7n8QE+hAZ4M3g2AC25FR1eX1Ld+ThJZNx/YhYdp6qoVHfM7/QziipbyYx1I9HZw9gYmoof/vymMcuglarjW3Hq5nWP5wbR8Vhs8F1b+5k+8lqHp0zgDW/nYimxchvl2dislixWG1sO1HNtE5qE1ojSRIPzepPVZOBf3ydw6ESDf0j1UiSxJWDo7hrcjK3jEsgPsTXlZG22WzUaA2uZcDuMD4llPkj45g+IKLTG7CvUsGjcwZ0KGa+0HjJZZgs9of3FqOQdggEvYVTotm+DutioSdtwovrWzBZbG6bv3WG2tvrjFamY4J82Pn4zDMK2NsT6td5d0OXRrq3Aukbb7yR2tpalixZwjvvvMPll1/OFVdcwbhx43p0wvPFwSINo5NCkCSJAZEBHZpugF0+0VXr3TmDohibHMJzXx7DYrUxsRN9tJNbxyUyKjGYP39xFKsNZncRSI92dEZyujAYzBbyqnUkdRFI94vw56rB0Xy4u5Bn1mcxuV8Y80d4zow5nzoDvM+8qMhfpeCZeYM6eFp3xaCYAE5VaalqMhDdC5Y/Ti9pL7lEerQapULG8rvHu5WBeGJ4fBDf/2Ea80d6fu/a8/Ds/tw9JYXh8UH8YlwC0YE+JIT44VxUiAnycVUkOzVkzkC6Xmdkf1E9M1o9lIxMCHI17fBEucP5JNqR2Z85IILMwnrqO+napGk28um+EuaPjOWX4xMwWWxdBt+FtTruen9vG9cVsD+1W9wURNpsNkrqW4gL9kEmk3jppmHIJIm/fXWsw1iwu2bU6ozMTI8gKcyPKwdHMS45hA2/m8J9M/oxMiGY/7tuCHsL6vkmq4KDxfU0tJiYkd79h7gJqaFcOTiK93cVcLikwSVNCvZT8pdrBuKvUpDQKpBuNlrQm6yEdVPacab8dnq/TiVhF4LWGWm92XLRuIkIBH2NgdEBTB8QzjVDPSe6LiSBrdqE22y2bkl4cx3yU08e0hcTYf69m5H2GFEZjfaTrlu3DplM1mabUqnkoYce6tEJzwdVjXrKGvTcGWfXI2ZEq9lyvAq96fSPhcVq41SVlgkpnQfGfioFH989jle/P8mPebVuC9Ha469S8MGdY7nr/b3U6YxdLkfHBvkQG+TD3oJ6bp+UzLGyRowWKwPCu/5Rv29GP746Uk6In5IlC4Z1mrEL9uu5tKOnDIwJcAWXsUHewLnv9pcepSbMT4VK0fNAoCtLv/YE+Sr501UZbba17mwXHeiNn0qBTIKHZw/g9c0nXYH09pPVWG20aS8/MiEYmw32F9Z7bPPqtBB0ZvanDYjg35tPsSu3lqs93KD3FdgLZOePjGNEfDDhahXfZFV0KkXYnFPFppwqNmaVc/MYu6e3zWZjwX93E+xl5r125jOaZhPNRotLvhQb5MMvJyTy9vY8Khv1RAa0lfR8ebgcuUxiqmMl4K1fjuowh+tHxLLkuxOs3FPM8Pgg5DKJKf3ObDXkzV+M5FSVlh2napiZ3vHBKiHUl83Hq7Baba5shT0j3TsFmRcbSodrh81mo8VoOaNsvEAg6D7eXnLev2MsANmNF5/bUpAjI93QbOLaN3ZS02RgdFIItToD5Q163r99LAntOree6oaH9MVCoI/SJbd1x2mNdC91NgTaPJ1IksSmTZt6dLLzhXMp3ampGRCldgXOzqLC0voWDGarR3u51ijkMh5x4+rRGf4qBSvvGY/RYu3WMsaYpGB2nKrBarW5tLLp3bDJGRgTwIs3DCU9Wk1EQOfj/ZRyvOQSAT7nz+aqdYe56EAfsJz7QPqFG4ZiPbMaiV7B2e5UKZcI8VMS6q8i88+XE+yn5KvDZS4/8q3HqwnxUzKs1TLf6KRgfJVyNmZVeAykyxv0eHvJXCsLw+IC8Vcp2Jlb4zGQPlSiQS6T7No8mcScQZGszizFaLZ6fPp2Frp+k1XpCqSPlDZwsFiDXLI/qLb+rjkdcVrr1ReMjuetrbl8llnCfTNO6+HqdUZW7Cli3rAY14OdO2QyiZvHxLPkuxPkVmsZlRDcpnlKd5AkibRItcdVp/gQX4xmK1VNBlcgHeqvhIvgu3Q+UMrt9yWTxYZeuHYILiEKCgrYt28fN954o2vb999/T1hYGMOHD+8w/osvvmDw4MFotVpqamqYNWvWeZztxY9T2rGvsI7DJQ0Mjg3gp/xaQv1U5FXr2Hqiil9NSGqzT26VlnC16px1Z+xNgny9OnWsMvSWRnrz5s1s2rSJTZs2sXnzZtf/LvYgGuzBg0ImuYI4Z3Voa3nHySr7f/eL6H7x3JkiSVK3n3CmDQinRmt0BSzRgd7d9lxeMCa+W9orSbJnAbvyjT6XxAX7uKQkvdXNSe3tdcZBVm+Q6JByhPspXA9PzmAxOcyfwlodZouV3bm1TEwNbbN64KtUcPnASDYcKXctM7WnvMGuM3ceWyGXMT4lhJ2n7Ob2Xxwo5d0f8trsc7BYw4BItauQbEJKGC0mSxuf8/accgTSO07WuKQmn+4rQSmXYbHBp5klbcY7W7THtvp8k8P8GJccwqp9xW38sT/YXUCz0cLi6V3rhW8aHYdMsj9ATD8DWUd3cXo/F9U1U91kv8mG/4yyss4fDaPFit5kFYG0QPAzJchRP+XsTfCfX47ipz/N4qvfTSZCrXJbCG9v9X1m+ugLRZCPFzqjxeNv69lqpD1Gas8++yxPPfUUN998c4eM6sqVK3t0svPFwWIN6dFql4wjyaFRPV7ZOpB2duS5OJYlpvWPQCbBppwqDhTXMzw+qFfOs/T2Mb1yXE9IksTAmAB+zKsjJsibwtqu97lUiQrwRimXEebbMSBJCfPDZLGxO6+WikY949xIiq4dHsPag2X8cLKay9x4gZdp9C59tJOJqWF8n11FTkUjT609itFiZdGERFQKOTabjUPFGq4eGuMa71ylOVCk8fjwdapKS78If05VadmSU8XlAyNZe7CUK4dEkVdexyd7i1k8LdX1IODMSMe3c6ZZODaehz45xI95tUzsF4bOYOb9XQXMyojslh95dKAPMwZEsCmnqlu2d2dK60DaubQX5q+i3vMzRp/C2cTGZLbSYrII+zvBJY/VamXdunU0NjbS1NTEgAEDmDlzptuxu3btIisrC5lMRkJCApdddhmvv/46999/PzqdjldeeYVHHnkEpVLJ0qVLuffee/n+++8pKirCZrMxfvx4Bg0aRGVlJRs3bsRms+Hr68u8efOoqKhg586dyOVy6uvrGTRoEFOnTj3P70b3cSa7Supb6Bfh75LpSZLESDeF8Dabjdxq3UWr+W5PUCsNuDuLU2NvBdK//e1vAViyZEmPDlxbW8v8+fP53//+R1BQEH/+859pbGzEYrHw4osvkpCQwKpVq1i5ciUKhYLFixczY8YM6urqeOSRR9Dr9URERPD888/j49P9TKbVauNwcQPzhp8OHhRyGcmhdisyJycrtUQGXDzLEiF+SkYmBPP5gRKK61pYND6RvqLVnJQaRlWjoc93TpPLJMYkBxPvY+nwmrMT3so9dlu4cW4Kzyb3CyfI14u1B8vcBtLlDS0uXbFrH4dn+EOfHKJRb88eZxbWMzE1jILaZhr1ZobHt5bXeBMZoOJAUT23TUzqcI5arYE6nZHfTEvhv9vy+PKw3V6xUW/mplHxHD5h5sUfqtiVW+s6d0l9M2qVooNk6MrB0fzfV9k8vuYIn9w7nqfWZqFpNnHfjO67VzwyZwAZ0QGujqHnktggHyTJHkjLHcmCED8lnXun9B1aZ6RbTBa8hf2d4BIiPz+f999/3/Xv+vp6ZsyYQVxcHCNHjsRsNrNkyRK3gXRlZSXHjh3jzjvvRCaTsWrVKk6dOkViYiLFxcXU1dURERFBfn4+SqWS1NRUTp48iUaj4c4778RsNvPuu++SmprK+vXrufbaawkPD2f//v3s3LmT1NRUNBoNixcvds3jYg6kFXIZapWCJoOZae2khSMSgtiYVUGt1kCoY8WuVmekocV0SeijAQIdGfeGFqPbQPp0Rvoca6TDwuw/kmazmY0bN2Iy2Sv4q6qqePbZZzs9qMlk4qmnnsLb2549e+mll5g7dy5XXXUVP/74I3l5efj4+LBs2TJWr16NwWDg1ltvZdKkSbz55ptcc801zJ8/n7fffptPPvmE22+/vdsXlFejpclg7pDRTQ7zc8k5AE5VNZHWi7KOnnBZRiQvbMwBYERCMLR0r0vcxc59M/rxm24s5fcFlt89nuzs7A7bnQ4e3x6rIMRP6bbRjlIh46oh0azZX8LDqw4xKCaAOyYlIUkSJovVrfNJWoQ/4WoV2eWNjEgI4khJAztO1jAxNYxDjlqBYa3+FiRJYkR8MAccr7XHKevoH6lm9qBIVuwp5pusSpLD/JiYGoraUIl6r4J1h0pbBdItxAZ3bLbj7SXnnV+N5hfv/sTMf26jxWTh2WsH2b/b3SQjOsDV0ORco1TIiAn0oahWZ5cH+Xj1WCN3KeLMSBtMVoxmIe0QXFokJyd30EgbDAaqqqooKChAqVRisXRMagDU1NQQGxuL3NHJLiEhgaqqKjIyMlwB88yZM8nJyUEmkzFixAgKCgooLy93Be9WqxWNRkNNTQ1fffWVa1tIiD1JEhkZiUwmQ6lUolBc/EmkQF8vD4G0/X59sFjjSvCcushW9LvCWUzpqQ16r/tIP/zwwwDs37+fkpISNBpNlwd94YUXWLhwIREREa59Kysruf3221m/fj1jx47l8OHDjBgxAqVSiVqtJiEhgZycHDIzM5kyZQoAU6dOZdeuXWd0QfsdWp4OgXS4H0V1zZgdVeonHcvXFxPOJhtymcTgmIunA9rZIpNJrh/tnyuhfkrU3gpMFhtjHbaM7lg0PpHUcH92nqrh2S+P8bGjO19lox6bDWIC20o7JElikqPt9MOXD2BEQhA7HJrpg8UafJXyDg+MIxKCKKxtpkZr4NusCn7MO623cVZip0Wq+f1l/Xl67kD+u2gUaxZPRCaTUMplTO0fzpbj1S7ts936zn3DoREJwfx30SgUMoknrkzvULByoUkI8eV4pZbi+uZutwfvKziXMZ2+4sL+TtAX8Pb2Zv78+UycOBGTyeTWyi0sLIzS0lKsVns8UFRURGhoKCkpKRQWFtLc3ExaWhrl5eVUVFQQGxtLWFgYSUlJ3H777dx2220MHDiQ4OBgQkNDuf7667n99tuZNWsW/ft7bvB2MRPo44W3l6yDTeeQ2EDkMqmNTjq3+tKxvoPT0g5PgbRT2nfO7e+c+Pr6cu+991JQUMDzzz/Prbfe2un4NWvWEBISwpQpU3j77bcBKC0tJSAggPfff5/XX3+dd955h6SkJNTq0z/wfn5+aLVatFqta7ufnx9NTZ4tS9xl/pbvKCPcT46xtpjsutPBirexCZPFxrZ9R1HIJJqNFtRWrdtjXChsNhtR/gr8lTIKck+g1+svqvmdC/riNbXH0zVG+8lp0ptJ8jN1+h788/IwrDYbf/6ugmfXZRFm1dBosD8xmxuryc5u63xyWZyEmmBCTFUMCILlBxv46cBRfjxZQUqwFyeO57QZH2KzN3Z5dX0mHx+uRybBn6ZFMiHBjz05NfgoJBrK8pEkifEhAHoqiuqpcFxbRoCZr5oMrN95iLRQJUV1WtJDJI/XFAasWBCPXGa86D77GB8zu/MayS6HIZHeZGdn9+nvaOtrq6qw/xgeOZ4LQENtNdnZl76crC9/fk768jV259qqqqpobGxsM662tpbm5mby8vI4ceIEcrkcf39/9u/fT0NDA0VFRej1epqamqirqyMsLIw33ngDm81GWFiYPcF28iSSJKFUKsnJycHLywtvb/t9wWazodVqeeONNzCbzcTGxpKXl8fAgQNZvny5K2AfM2YM1dXVbeZnsVhc/32xfnb9AiHB34/8Uyc6vJYc5MWOnFKuTrD/Du3NqUGlkNCU5dNY3jYpdDFeX02TPYA+lltIrFTX4fXyyjoUMjr8VnaXLgNpSZKorq5Gp9PR3NxMc7P7bmVOVq9ejSRJ7N69m+zsbB577DFkMplLpzRz5kxeeeUVBg8ejE53OiDQ6XSo1Wr8/f3R6XR4e3uj0+kICPC8rJuR0dbH90RlE4cq8vjjFQMYNLBtC8pm3zpe2VWNLDAKs80GFDF1eBoZSRdXk4T/qmOQyyQyYgPJzs7ucI2XOn3xmtrj6RoHHtJzoraMueMzyOjGisN/41K44l8/8N8DWoeeuYxxQ/p3sHPLAOY6/vt6v3o+OriLD44ZOFVr5K7JyR3mkpRq4Ylvy/noUD3hahUxQT48v72KtxeNps7cSFpUAAMHDvR4bbdMH8jLO78n3+DLtKQkWkz5DEmJJSMjpRvvzsXFiwNsLCyqZ0tOFWOSQ8gYENGnv6Otr63UVglUERwRDZSTHB9LRkb8BZ3fuaAvf35O+vI1dufaMjIymDZtWodtnhg1qqNXvafxrbe3H+Ppvjhp0qQO21rPr/VxLtbP7l+dTGnCcQufHyil/4B05DKJut176BcBg9y8Hxfj9cW0mGBNMb5BYW5/p/xzj6FSNHU578zMTLfbu8xj33///Xz33Xdce+21zJo1iwkTJnQ6fvny5Xz00UcsW7aMjIwMXnjhBWbMmMG2bdsA2Lt3L/369WPo0KFkZmZiMBhoamoiNzeX/v37M3LkSNfY7du3u/0D8MQHuwpQKmQsdHjftiY5zL4EkVej46f8OpRyGUNiLz75xLD4IJfXtaBvMalfGINiAlx2jF0REeDNQ7PS2F+kYf2hcoAuu0MOiwtE7a1gwxG7H/U9UzveNHyUcpfu+G/XDWbZXWPpH6nm/o/3c6hY06XkKdRfxYj4IDbnVLn1kL6UkMskxiSF8Mcr0nvFGeRixrmM2dhiL1JVCdcOgUDghmHxQWgNZvJr7KtYJyubuuW8dLGgdjRHa/DQAt1otqI6C2lblxnpMWPGMGaM3TLtsssu69FJHnvsMf785z+zcuVK/P39efnllwkMDGTRokXceuut2Gw2HnroIVQqFYsXL+axxx5j1apVBAcH8/LLL3frHA0tJtbsL2XesBhC3DR6CPa1FxPlVWs5VKJhREKQ0AQKzis3jY7nptFnlvG7YVQcL31znO+zK1F7K/BXdf4nq5DLePXm4dhsds29Jy32XZOTOVWlZc6gKADevW00817fSXWToVu1A5dlRPLSN8d55NNDAKRcItXbgtM46xacGmlRbCgQCNyREW0PmrPLmwhXe1PeoL+kAmmZTCLQx6tTjbTyLOq4PP4qz5w5s82PsEKhwGw2o1Kp2LBhQ7cOvmzZMtd/v/feex1eX7BgAQsWLGizLSwsjKVLl3br+K3ZdqKaFpOFW8d1zEaDXaKSHObHwWINx8ob+f1laWd8DoHgfOOrVHDLuAT+uy3P1Rq8K9xZ57XnuhFtW4RHB/rw9qJRLP5oP+OSO3pct+fygZG8/O1x9CYL/1o4/JK6qQrsODPSziyNj7C/EwgEbugX4Y9CJpFT0UiUo+C9NyxJe5MgXyWaTjPSvRBIOw3G//rXv7Jw4UKGDh3KsWPH+Pjjj3t8st4kq7ShS7lGSpgfaw6UAjDBTUMMgeBi5FcTknj3h/wOzVjONSMSgvnxT91bdeofqWb7H2cQFeCN4mfuyHKp4szANLYI1w6BQOAZlUJOarg/2eVNRDsSOv0vsUDanpF2X0xtMFt7JyOtVNrlEcXFxQwdOhSwC+3z8/N7fLLe5GhZA+nR6k5t1lIcTTFUChnDHR3eBIKLndggH567dvBFp0P2ZHknuDRwaaQdjXyEtEMgEHgiPVrN3vw64oJ9UKsUHaxYL3aCfL2o03kOpHslI+1ErVbz6quvMnToUA4cOEB4eHhXu5x3bDYbR0sbuWpI5+0qnQWHo5OCe9zBRiC4EHiSLAkEPaW9tENkpAUCgSfSowJYe7CMPfl19I9Se6y/uVgJ8vFq0926NcazzEh3uec///lPAgIC2Lp1K2FhYbz44os9PllvUVLfQkOLicGxnbshOLvLCVmHQCD4ueMlt/8QnpZ2CImOQCBwj7PgMKfi0nLscBLkq+xE2mE5q+Rqtxqy3HnnnT0+wfkgq6wBoMtugBnRap66ZiDXtyu0EggEgp8bSoVw7RAIBN3DaZkKl16hIdg10o16MxarDbmsbTbdaLbi69vzNu59IgVxtLQRuUxiQBcfriRJ3Dk5mWA39ngCgUDwc+J0saFDIy1cOwQCgQci1CqXtfClmZG2twlvdOPcYTBbUfWwPTj0lUC6rIG0CH+h8RMIBIJu0j4j7S3qRgQCgQckSXJlortKWl6MOANpdxZ4RrPVdT/sCV3msisrK3nppZeoq6vjiiuuYMCAAQwbNqzHJ+wNjpY2Mn3AxVcEKRAIBBcrToejZqMFpUKGTHZpFQ8JBILzy6R+YdTpjG6b3l3sBPnY5+yuu6E9I93zREKXIfhf/vIXbrjhBkwmE6NHj+b//u//enyy3qC6yUCN1sCgmO61XRYIBAIBKGQSzsJ7oY8WCARdcd+Mfmx8cOqFnkaPCHRmpN0UHBp6OyOt1+uZMGECb731FikpKahUqh6frDeo1RkAiAq4tDwNBQKB4EIiSRJKuQyD2SocOwSCS4BvvvmG8vJytFotJpOJ4OBgqqurSU5O5sYbb+zxcbdu3Yq/vz+jR4/u0f4bN25kwoQJBAZ2NHw4ePAgPj4+DBgwoMfzOxcE+dgDafcZactZaaS7DKRVKhU//PADVquVgwcPuhq1XCzoDPZCGT9VzysuBQKB4OeIM5AWGWmB4OJnzpw5gD04rampYdasWRQUFLBv374LOq8rrrjC42vDhw8/fxPphCBfe+yqaXavke7VQPq5557jhRdeoL6+nv/9738888wzPT5Zb9Dk6Mrl7y0CaYFAIDgTlAoZGEQzFoHgUqauro7ly5ej0+no378/06dPp6CggG3btmGz2TAajdxwww3I5XJWr15NQEAA9fX1xMTEcM0117Q5zurVq5k3bx4Gg4Fvv/0WuVyOl5cXN910EzKZjC+++IKmpiYCAgIoLCzk4Ycf5v333+eaa65hzZo1jBw5EoBjx45RWFiIj48P/v7+hIWFsXPnTuRyOfX19QwaNIipU6dSV1fHF198gVwuJzAwEI1Gw+23337O36MAR4zYPpC22Wxn7drRZfRptVp59NFHT++gUGAymfDy8urxSc8lWkdGWi0y0gKBQHBGOAsORSAtEFy6mM1mbr75Zmw2G6+88grTp0+nurqa+fPno1ar+eGHH8jKymLo0KHU1tbyy1/+Ei8vL/7973+j1WoBqKmp4cCBA8yfP5/Q0FC+/fZbBg0axPjx4zl+/Dh6vZ7s7GyCgoK46aabqKmp4c0332wzjxEjRlBQUMDo0aM5ePAgs2bN4tixY67XNRoNixcvxmw2s2TJEqZOncp3333HlClTSEtLIzMzE41G0yvvkUIuQ+2tQNPSViNtstgAelcjfe+991JZWUlKSgr5+fn4+PhgNpt59NFHufbaa3t84nOFVmSkBQKBoEc4fzyEtEMguHSJiIhAobDHQDKZ/W9arVbz9ddfo1QqaWpqIj4+HoCQkBBXrZu/vz9msz2GOnXqFDKZzLX/lClT+OGHH/jwww9Rq9XExsZSU1NDv379AAgLC8PX17fNPIYMGcLOnTtpamrCYDAQERHRJpCOjIxEJpOhVCpd862urnbNLTExkSNHjvTKewQQ4O3VQSNtMFsAete1Iy4ujo0bN7Jy5Uq+/fZbhgwZwpdffslHH33U45OeS5wZaX+RkRYIBIIzwtkmXDRjEQj6FuvXr+faa6/luuuuQ61WY7PZOh0/fvx45syZwxdffIHVauXw4cMMHz6c2267jfDwcDIzM4mIiKC4uBiwy0Cam5vbHMPb25vg4GC++eabbmujWx+zpKTkzC/0DPBVytGbLG22Gc1WoJcz0rW1tYSEhAAQGBhITU0NQUFBrqeWC41TI+2nFIG0QCAQnAlKRxZGuHYIBH2LoUOH8t5776FUKvHz86OpqanLfVJTUzl27Bg7d+4kOTmZdevWoVQqkSSJa665Bn9/f9auXct7771HUFCQK6vcmpSUFHbs2MG8efO6Nc9Zs2axbt06du/ejUqlQi7vvYd6H6WcZmPbQNrgCKR7VSM9aNAg/vCHPzB8+HAOHjxIRkYGGzZsIDQ0tMcnPZdoDWb8lHLRTEAgEAjOEGcWRmikBYJLh9bZ3qSkJJKSklz/fuSRR4DTDh/tufvuuzv89/Tp013b5s6d63YsQHFxMSNGjCA1NZXa2lpXJrl1cWBYWBhPPPGE69+tj+1uniUlJcybN4+QkBD279/vOmZv4OMlp8V4ATLSTz/9NJs2bSI3N5d58+Yxffp08vLymDFjRo9Pei7R6s1CHy0QCAQ9QOmUdohAWiAQdEFwcDCrV69m27ZtWCwWrrrqqrM+ZmBgIJ999hleXl7IZLJuZ7J7go9STr2ubbHh6Yx0z++BXUagGo2GlpYWIiIiqK+v57///S/33ntvj094rtEazUIfLRAIBD1AZKQFAkF38ff357bbbjunx0xMTOSee+45p8f0hI+XnNJeyEh3uef999/Pnj17WLlyJV988QUHDhzo1oFra2uZNm0aubm5rm3r16/n5ptvdv171apVzJ8/nwULFrBlyxbALmC/8847ufXWW3nwwQdpaWnp9Dz2jPTFYcUnEAgElxJO+zuRkRYIBH0dH6WcFlN7jbTTtaMXA2mbzcazzz5LcnIy7733Xrc8/kwmE0899RTe3qfbdh87dozPPvvMVTlaXV3NsmXLWLlyJUuXLmXJkiUYjUbefPNN/r+9+w6L6k4XOP4dylCGoUixgRELKrYV3ahr7ElMIhobqCiWa3nivdd9jJsNiYlGE8sab0x248a9JkYUsStZEldv1LXFQgxuQiSDG9lYiYoUZQaYYcr9g8ysSBEpDgzv53l8HuZw5pz3neMMLz/e8/tFRkaybds2wsPD2blzZ5Xn0uqNMoe0EELUgNJaSMusHUIIB+fhWj+zdjz0mc7Ozuj1eoqKilAoFJhMpoc9hdWrVzNp0iSCgoIAyMvLY+3atSxatMi2T1paGr169UKpVKJWq2nTpg0ZGRmkpqYycOBAAAYNGsTp06erPJe22IjKTX4ICCHEo3L95YdHbUZjhBCiMfBwtdOsHVOmTGHz5s0MGDCAwYMH07t37yr337dvH82aNWPgwIFs2LABs9nMG2+8weuvv26bBBxAq9WiVqttj1UqFVqttsz2h03ZotFoyNMWEeJlQaPRPDTZxsa6kpAjccScHuTIOTpyblaOnOODuRVrSz9f7+Zko9Ho7RVWnXLk62flyDk6cm4g+dmT7l4eRQYTP/zwAwpF6Y3WmVd0AGRdu4K77maNjvvQQlqv19sawZ9//nm8vLyq3H/v3r0oFArOnDmDRqNh1KhRBAcHs3TpUvR6PZcuXWLFihX069cPnU737wR1OtRqNV5eXuh0Otzd3dHpdHh7e1d6ri5dulBsukpw8wC6dOlS3ZwbDY1G43B5OWJOD3LkHB05NytHzvHB3AJ/KIF/aQlt05ouXYLtGFndceTrZ+XIOTpybiD52VPIrUtY0vJp17GT7Qbrf+pvALfo1LEDHYKqrm9TU1Mr3P7QQnrXrl226UgeVkQDJCYm2r6OjY1l6dKltG/fHiidL3DhwoW88cYbZGdn88EHH6DX6zEYDGRmZhIWFkZERATHjx9n3LhxnDhxosoRcIvFglYvs3YIIURNWG82lFk7hBCOznpTdXGJyfaZZ3gcrR0Gg4ExY8YQGhpqW83wvffeq/EJrQIDA4mNjSUmJgaLxcLLL7+Mm5sb8+bNIy4ujl27duHn51fluYpLzJgtyDzSQghRA9YbbGTWDiGEo/P85abqQoMJX8/SbQbTY1iQxbr6TE0kJCSUeRwcHMyuXbtsj6Ojo4mOji6zT0BAABs3bqzW8Qv0JQAyIi2EEDUgI9JCiKbC+jl3/xR4JdZZO5zrcdaO8PBwTp06RVJSEvn5+TRv3rzGJ6tr2mIjIIW0EELUxL8XZJFZO4QQjs36l7f7lwm3jki71uf0d4sWLSIkJIQrV64QEBDAG2+8UeOT1TWtXgppIYSoKdsS4TKPtBDCwXkqS2vFMiPSptK1Tep1RDo/P58JEybg4uJCREQEZrO5xiera7YRaemRFkKIRyY90kKIpsJDWfp5d/+ItHUeaddfBhVqololuHWZ75s3b+Ls3HA+cAtkRFoIIWpMKT3SQogmosIeaZMZpbOTbV7pmnhoBfrmm2+yaNEiMjMz+e1vf8tbb71V45PVNeuItFpGpIUQ4pGN6NaCohIzQWq3h+8shBCNmK214/4eaaO5VqPRUI1C+urVq2zfvt029V1DIj3SQghRcy19PJg3pL29wxBCiHrnUdmIdC1uNIRqtHacOXOGF198kffff59r167V6mR1zVpIq6SQFkIIIYQQlahw1g6j2TYNaE09tAJdvHgxBoOBI0eO8Pbbb1NSUkJ8fHytTlpXtHojrs6KWq1II4QQQgghHJt1dqL7R6QNj2NEGiAtLY2vvvqKnJwc+vfvX6sT1iVtceny4LVpEhdCCCGEEI7N1VmBs5Oi3Ih0baa+g2qMSL/wwgt07tyZqKgoVqxYUauT1TWt3ihT3wkhGqT8/Hz27NnD7Nmzq7X/J598woQJE/D19a3fwACj0ci6detYsGBBvZ/r8uXL7N69m8DAQABMJhP9+vWja9eu9X5uIYSwUigUeLg6lx2RNtZ+RPqhVWhiYiJ+fn62xyUlJbi6utbqpHWloNiIl1vDiEUIIUTFQkNDmTBhAgAGg4H4+Hj8/f1p0aKFnSMTQjQlHkpnCg1lbzas9x7p//u//2PTpk0YjUYsFgsuLi58+eWXtTppXdHqS1DLjYZCiAYuPj6eFi1acPv2bfR6PVFRUfj6+nLkyBEyMzPx9vamsLAQgOLiYpKTkykqKgLgueeeo3nz5vzxj38kODiY3NxcgoKCGD16NHq9vsJ9P/zwQ0JCQsjJyUGlUhEdHY3RaOSrr77i7NmzNGvWzBbbrVu3OHjwIBaLBU9PT0aPHs3Nmzc5deoUzs7O5OXl0bVrVwYNGkROTg6ff/45JpMJV1dXxo8fj9Fo5IsvvrANskRGRuLj41Ppa6FUKunduzc//PADQUFBfPHFF9y7d4+CggI6derE0KFD+fDDD5kzZw4eHh6cO3cOg8HAgAED6vEKCSGaAg9XZ4ofd490YmIiCQkJDBo0iFWrVtGhQ4danbAuafVGVG6ykIAQouFr3bo106ZNo127dly4cIGsrCyuXr3KnDlzGDt2LAaDAYCTJ08SGhrK9OnTiYyMZP/+/QDcu3ePoUOHMmfOHAwGAxkZGZXum5eXx9ChQ5k1axaFhYVkZWXxzTff4OPjw8yZM+ndu7ctrs8//5wXXniBGTNm0KFDB06dOgWUtqZER0cza9YsTp8+DcChQ4d46qmnmDVrFn379uXmzZscOnSIJ598khkzZtC/f3+OHDny0NdCpVJRWFjIvXv3CA4OZurUqcyZM4dvvvkGhUJB9+7duXDhAgDff/89PXv2rLsLIYRosjxcncv0SJcYLfU/j3RQUBBBQUHodDr69u3LunXranXCuqTTmwgNkNYOIUTDZ21j8PHxQavVkpOTQ8uWLVEoFLi5uREUFATA7du3uXz5Munp6QC20WYfHx/bSHJISAh37typdF9PT0/bqLC3tzdGo5GcnBzb84ODg22r1N65c8dWgJvNZts+zZs3x8nJCaVSiYuLi23f4OBgADp16gTAwYMH+eqrr2wFeHXWHLh79y7e3t54eHhw48YNLl++jFKpxGQq/QHXq1cv9u7dyxNPPIFKpcLLy+tRX24hhCjHQ+lM4X0j0nqTGR9l7erIhxbSarWaw4cPo1Ao2LFjB/n5+bU6YV0q+GXWDiGEaOgenF0oMDCQc+fOYbFYKCkpITs7G4CAgABatWpF9+7d0el0nD9/HoCCggK0Wi1eXl5cu3aNHj16UFhYWOG+FQkMDOTKlSsA/Pzzz7ai1d/fn7Fjx+Lj48PVq1fRarVVHiMrK4t27dqRlpZGUVERAQEB/OY3v7EV95cvX67yddDr9Zw/f56oqCi+/fZb3N3dGTVqFLm5uZw/fx6LxYKvry/u7u6cPHmSXr16PfS1FUKI6vBwdaa4zIi0GWV9j0gvX76cq1evsnDhQjZt2sSbb75ZqxPWJa2+BC9p7RBCNEItWrSgQ4cOfPzxx6jValQqFQADBw4kOTmZ1NRU9Ho9Q4YMAcDZ2Zm//e1v3Lt3j9atWxMWFkZISEiF+1akT58+pKen8+mnnxIQEGAbZR45ciRJSUmYzWYUCgWjR4+moKCgwmM888wzfPHFF5w4cQJXV1fGjRtHWFgY+/fvx2g0UlJSwnPPPVfueT/99BPx8fE4OTlhNpsZMmQIAQEBmM1m9u3bx/Xr13FxcaFZs2YUFBTg7e1NREQEBw4cYOzYsbV7oYUQ4hceSmeyC/S2x3XRI/3QQtrLy4vw8HAAXnvttVqdrK4Vl5hRu0trhxCi4fH19bVNfTdjxgzb9j59+ti+HjRoEIMGDSr33EmTJpXb5uLiQnR0dJltnp6eFe77yiuv2L62zpYB8Jvf/IYuXbqU2bdVq1Zl4oPSUeq2bduWO16zZs2YNm1amX09PDyYOnVquRis2rZty+9///sKvxcUFMRLL71U4ffMZjO9evWqVquIEEJUR+msHUbb47qYtaPRf0KpZR5pIYRwKEeOHOHs2bP07dvX3qEIIRxI6awdZtvjx7IgS0MnI9JCiKbg/lFmRzd8+HB7hyCEcEAPLshSYjLj+jiWCK+JnJwcBg8eTGZmJhqNhpiYGGJjY5k1axZ37twBYNeuXYwbN47o6GiOHj0KQG5uLv/xH/9BTEwMCxYssN2FXhm52VAIIYQQQjyM5wOtHfo6GJGul0K6pKSEJUuW4O7uDsCKFStYvHgxCQkJPPPMM3z88cdkZ2eTkJDAjh072LhxI2vXrsVgMPDRRx8RGRnJtm3bCA8PZ+fOnVWey1taO4QQQgghxEO4/9LaYTZbgNIR6XpfkKUmVq9ezaRJk2zzoq5du9Z2g4vJZMLNzY20tDR69eqFUqlErVbTpk0bMjIySE1NZeDAgUDpjTjWhQAqI60dQgghhBDiYTyUpTO96Y2lfdINskd63759NGvWjIEDB7JhwwYAW0F9/vx5tm7dSmJiIidPnkStVtuep1Kp0Gq1aLVa23aVSlXpNExWt29cQVPgmMV0cXExGo3G3mHUKUfM6UGOnKMj52blyDk6cm5WkmPj5si5geRnb/dy7wLwbboGtdIJswXu5uXUKuY6L6T37t2LQqHgzJkzaDQa4uLiWL9+PefOnWP9+vVs2LCBZs2a4eXlhU6nsz1Pp9OhVqtt293d3dHpdHh7e1d5vp5dOxHg5VbXaTQIGo2m3FRVjZ0j5vQgR87RkXOzcuQcHTk3K8mxcXPk3EDys7fvddcgJYeQtu3wV7kBP9GqRXO6dGn/0OempqZWuL3OC+nExETb17GxsSxdupTTp0+zc+dOEhIS8PX1BaBHjx588MEH6PV6DAYDmZmZhIWFERERwfHjxxk3bhwnTpygd+/eVZ5Ppr8TQgghhBAP4+Fa2tpRXGLCYCpt76j3BVlqy2w2s2LFClq2bMn8+fMB+PWvf81vf/tbYmNjiYmJwWKx8PLLL+Pm5sa8efOIi4tj165d+Pn58d5771V6bKWLE24usrKhEEIIIYSomucvPdKFBhOGX/qk632J8NpISEgA4Ouvv67w+9HR0eVW6goICGDjxo3VOr7M2CGEEEIIIarDOiJdZDBRUkcj0o16ZUOZsUMIIYQQQlSH+y8j0kUl/x6RbtJLhMtiLEIIIYQQojqsrR0yIv0LudFQCCGEEEJUh621o8Rkm0u6SY9ISyEthBBCCCGq4/5CWkakkR5pIYQQQghRPR73tXb8e9aOJlxIS4+0EEIIIYSoDuuIdKHBRInJAjTxEWmZ/k4IIYQQQlSHi7MT7q5O6PRGDCYT0OR7pKW1QwghhBBCVI9K6YLOYMRg/GVEumkX0jIiLYQQQgghqsfTzRmd/v4lwmu3smGjLqS9pJAWQgghhBDVpFK6lLZ22G42dK7V8Rp1IS2tHUIIIYQQorpUbqWtHdbp71yb8oi0tHYIIYQQQojqUrm5lLZ2yPR3MmuHEEIIIYSoPpXSGZ3+/hHpJlxIe7lJa4cQQgghhKgelZsLhYZ/LxHepEekpbVDCCGEEEJUl0rpjPa+EekmXUh7Kmt3p6UQQgghhGg6SkekS2ftcHFS4OTUhG82VChql7wQQgghhGg6VG4ulJgs6PTGWq9qCI28kBZCCCGEEKK6rN0MeYUlKGt5oyFIIS2EEEIIIZoIlVvp/XV5hYaGXUjn5OQwePBgMjMzuXLlCpMnTyYmJoa33noLs7m0wXvdunVMmDCBSZMmkZaWBlDpvkIIIYQQQtSGSllaSOcXltT6RkOop0K6pKSEJUuW4O7uDsCqVatYsGAB27Ztw2KxcOTIEdLT0/n666/ZvXs3a9euZdmyZZXuK4QQQgghRG2p3KytHQ14RHr16tVMmjSJoKAgANLT03nyyScBGDRoEKdPnyY1NZWnnnoKhUJBq1atMJlM5ObmVrivEEIIIYQQtWVt7cgvLMHVufaTVtT5RMz79u2jWbNmDBw4kA0bNgBgsVhsM2yoVCoKCgrQarX4+vranmfdXtG+Fblz5w4rV65kxIgReHp6ApCWloZarSY0NLTG8RcWFnLkyBGGDh2Kl5cXAFlZWWg0GoYOHYqT06P/7vH1118TGBj40LguXLjA1atX8fDwsL0OeXl5+Pn51SiXhqi4uBiNRmPvMOqVI+foyLlZOXKOjpybleTYuDlybiD5NQS3c/UAaPVGzCWGWsdb54X03r17USgUnDlzBo1GQ1xcHLm5ubbv63Q6vL298fLyQqfTldmuVqvLFKrWfSvj6upKeno6sbGxKBQKbty4QUBAAF26dKlVDi4uLvzjH/9g+vTpFBcXc+TIEaZMmVLjgvbGjRuEhobSvn37Kve7desWoaGh9OnTB4CUlBTOnTvHSy+9hIuLYyw+o9Foan19GjpHztGRc7Ny5BwdOTcrybFxc+TcQPJrCDxzdPD5DQDUXp7Vjjc1NbXC7XVenSUmJtq+jo2NZenSpaxZs4aUlBT69u3LiRMn6NevH23atGHNmjXMmjWLmzdvYjabadasGeHh4eX2rUxoaCgWi4Vz587Z2kGsUlJSuHDhAgDdunWje/fubNmyhZdeeonr16+TmJjIq6++SkFBAcnJyUydOtX23J49e3Lx4kVSU1O5ceMGAwcOxM/Pj/T0dM6ePYtCoaBNmzY8/fTT3Lt3j/3792M0GikoKGDYsGF07tyZjz76CH9/f5ydnYmMjMTV1ZWrV6/y5Zdf4uzsjKurK1FRUbi5uVWan7e3Ny1btuTq1asEBASUO09gYCD79u1jzpw5AOzZs4f+/fvTunXrGl07IYQQQghHZm3tgNqvagj1UEhXJC4ujsWLF7N27VratWvHiBEjcHZ2pk+fPkycOBGz2cySJUsq3bcqI0eO5JNPPqFDhw62bdnZ2aSnpzNz5kwAEhISaN++PZ6enty9e5cff/wRHx8fsrKyyMrKonPnzhUed+PGjbRu3ZqePXtSVFTEsWPHmDt3Lq6uriQlJZGZmYlCoaB///60bduWa9eucezYMTp37ozBYGDQoEG0bNnSdsyMjAy6du1Kv379uHjxIsXFxVUW0lDa3lJYWMidO3fKnSc2NhZXV1eys7Px8vIiLy9PimghhBBCiEpYZ+0A6uRmw3otpBMSEmxfb926tdz358+fz/z588tsCw0NrXDfynh6ejJixAg+++wzQkJCALh9+zZ3795ly5YtQGnPTm5uLp07d+bHH3/k+vXrDBgwgMzMTK5fv87o0aPLHVelUtGmTRu6desGQG5uLoWFhbYRd4PBQF5eHm3atOHkyZP84x//AMBkMtmOERAQUOaYAwcO5OTJk2zZsgW1Wl2tovfu3buEh4fj7u5e4XkiIiL49ttv8fHxoUePHtV+3YQQQgghmhp3VyecFGC21M2ItEMsyNKpUyf8/f359ttvAfD39ycwMJDp06czY8YMevbsSfPmzencuTMXLlzAzc2NDh06cPHiRYxGo+2mwqr4+vri7e1NbGwsM2bM4MknnyQ4OJijR4/So0cPxo4dS9u2bcs858ElzNPS0vjVr37F9OnTCQwMrLTfxuru3btkZ2dXeZ7w8HAyMzPJyMiQQloIIYQQogoKhcI2Kl0XS4Q7xh1swHPPPcdPP/0EQIsWLQgNDWXTpk0YjUZat25tu5HRaDQSGhqKh4cHTk5OdOzYsVrHV6lU9O/fn/j4eCwWC76+vnTt2pXw8HAOHTrEV199hbe3N4WFhZUeo3Xr1iQnJ6NUKlEoFERGRpbb58yZM1y4cAEnJyeKioqIjo7Gycmp0vO4uLjwxBNPUFhYiIeHRw1eOSGEEEKIpsPTzZkCvbHht3bUp4CAgDL9025ubixYsMD2eMCAAQwYMKDc82bPnm37etasWVWeY8yYMWUe9+jRo9yob/fu3enevXu5594fi1VwcHCZ8z9oyJAhDBkyxPZYo9HY5uKu7DwAZrOZiIiISo8rhBBCCCFKld5wqK+TEWmHaO1oyhISEiguLq7V3NlCCCGEEE2FtbWjSY9Ii1KxsbH2DkEIIYQQotGwLhOurIOVDWVEWgghhBBCNBl1OSIthbQQQgghhGgyrIuySI+0EEIIIYQQj8DW2iE90kIIIYQQwh5u377N4cOHKSkpwWAw4OvrS+fOnbly5QrffPMNEyZMqPS5ly5d4u7du/Tu3bvC72s0GoKDg1Gr1XUet6fMIy2EEEIIIeyluLiYvXv3Eh0djb+/P2azmU8//ZTU1NRyKztXpEOHDlV+PyUlhcDAwHoppK2tHW4yIi2EEEIIIR63jIwM2rZti7+/PwBOTk48+eSTdO3alWvXrpGbm0tiYiI6nY6wsDCGDBlCfHw8KpWKoqIiunXrRm5uLkOGDGH37t3o9XpKSkoYNmwYJpOJmzdvkpSUxLhx40hKSsLb25v8/Hy6devG7du3uXnzJh07dmT48OFcvnyZ48ePY7FYMBgMjB8/Hh8fn3LHbd++PQAqZWlrh4xICyGEEEKIx66goAA/P78y21xdXXF2Li1SjUYjEydOxGKx8P7779sWnOvWrRtdunTh22+/BSA3N5fCwkKmTp2KTqcjJyeHsLAwWrRoQWRkJM7OzuTl5TF16lSMRiN//OMfWbhwIa6urnzwwQcMHz6c7Oxsxo0bh1qt5uTJk6Snp9O5c+dyx7WyjkhLj7QQQgghhHjsfH19+fnnn8ts02q1XLlyBYCgoCBcXErLTCenfxesD7Z9BAUF0bt3b/bu3YvJZKJv377lzuXn54e7uztGoxGVSoWHh0eZ76vVag4cOIBSqaSgoICQkJAqj2u92VBm7RBCCCGEEI9dWFgYly5dIjc3FwCTycR3333H7du3q3yeQlF2EZRbt25hMBiIiYlhzJgxHDhwwLafxWKpViyff/45L774ImPGjEGtVmOxWCo9LsjKhkIIIYQQwo7c3NwYM2YMn3/+ua032c/Pjz59+thGpavD39+f48ePk56ejsVisbWAhISEkJSUxKhRox56jB49erBp0yaUSiUqlYqCgoJKjwv3tXbUwcqGUkgLIYQQQohH1qpVK6ZPn257rNFoUCgUtG3blrZt29q2v/LKKwDMmDHDtu1Xv/qV7evo6Ohyxx42bBjDhg0DYPbs2QC4uLiwYMGCcscdMWJEhfFVdFyA5t5uAPh7uVWSWfVJIS2EEEIIIZqMDkFqjr4yhLb+nrU+lhTSQgghhBCiSQkNUNXJceqlkDaZTLz55pv89NNPKBQKli1bhslk4q233sLZ2Zm2bduyYsUKnJyc2LVrFzt27MDFxYV58+YxdOhQcnNzeeWVVyguLiYoKIhVq1aVu0NTCCGEEEIIe6qXWTuOHj0KwI4dO1iwYAHvv/8+69at47/+67/Yvn07BoOBY8eOkZ2dTUJCAjt27GDjxo2sXbsWg8HARx99RGRkJNu2bSM8PJydO3fWR5hCCCGEEELUWL0U0k8//TTvvPMOAFlZWXh7e9OlSxfy8/OxWCzodDpcXFxIS0ujV69eKJVK1Go1bdq0ISMjg9TUVAYOHAjAoEGDOH36dH2EKYQQQgghRI3VW4+0i4sLcXFxHDp0iD/96U/k5+fz9ttvs379etRqNX379uXgwYNl1lBXqVRotVq0Wq1tu3Uak4poNJr6Cr9BKC4udrgcHTGnBzlyjo6cm5Uj5+jIuVlJjo2bI+cGkp8jqtebDVevXs0rr7xCdHQ0RUVFJCYm0rFjRxITE/nDH/7AU089hU6ns+2v0+lQq9V4eXmh0+lwd3dHp9Ph7e1d4fG7dOlSn+HbnUajcbgcHTGnBzlyjo6cm5Uj5+jIuVlJjo2bI+cGkl9jlpqaWuH2emnt+Oyzz/jf//1fADw8PFAoFPj4+ODl5QWULgd57949evToQWpqKnq9noKCAjIzMwkLCyMiIoLjx48DcOLECXr37l0fYQohhBBCCFFj9TIi/eyzz/L6668zZcoUjEYjixYtwtfXl5dffhkXFxdcXV155513CAwMJDY2lpiYGCwWCy+//DJubm7MmzePuLg4du3ahZ+fH++99159hCmEEEIIIUSNKSzVXci8galsiF0IIYQQQoi6VlGHRKMtpIUQQgghhLCneumRFkIIIYQQwtFJIS2EEEIIIUQNSCF9n9jYWDIzM+0dRp27fv06ERERxMbG2v6tW7euwn0by2uQkpJCp06d2L9/f5nto0aN4rXXXrNTVPXn448/5qmnnkKv19s7lFpratcOGs/7qqaqym/YsGGN9v+tI73vKrJhwwZmzJjB1KlTiY2N5cKFC/YOqU5du3aN+fPnExsby6RJk1i6dClarbbCfbOysvj73//+mCOsuZSUFHr37s3PP/9s2/Y///M/7Nu3z45R1Y2UlBT69+9PbGwsU6dOZdKkSfztb3+zd1iVqtd5pEXD0aFDBxISEuwdRp1q164d+/fvZ+TIkQBcvHiRoqIiO0dVP5KTk3nhhRfYv38/48aNs3c4tdaUrp1ovBztfXe/S5cu8fe//53t27ejUCjQaDTExcWRnJxs79DqRHFxMf/5n//J8uXL6dmzJwBJSUn87ne/s03Pe7+zZ8/yr3/9i2HDhj3uUGtMqVTy+uuvs2nTJhQKhb3DqVP9+vXj/fffB0rXGImNjSU0NLRBzlEtI9IPyMvL46WXXmLmzJlERkZy+PBhoHS07J133rH95l7ZaouNyXvvvcfkyZOZOHEiBw4csG3/05/+xLRp05g9eza5ubl2jLBqnTt3Jisry3YtkpOTGTVqFABbt25l2rRpREVFMXfuXAwGA/v27WPKlClMnjyZM2fO2DP0R5KSkkKbNm2YNGkSiYmJQOkI4JIlS2y/sWdnZ5OSkkJUVBQxMTF89tln9g36IR712v3ud7/j2LFjAGRmZjJ37lx7hV5j69atY/v27UBpDrGxsYDjfLZUll9jVdn7zjryvn37dj788EMA/vznPzN27FhmzZpFTEwMKSkpdou7utRqNVlZWezZs4dbt27RpUsX9uzZw8WLF21/uZw/fz4FBQWkpKQwc+ZMZs2axejRo22vR0N27Ngxfv3rX9uKaICxY8eSl5fH5cuXmTp1KhMnTmT69OncuXOHDRs28MUXX3DkyBE7Rv1o+vXrh4+PT7nr8emnnzJ+/HgmTpzImjVrABg3bhzXr18H4ODBgyxfvvyxx1tTKpWKiRMncvDgwQrrlu+++46JEycSFRXFf//3f1NcXPxY45NC+gEZGRnMnDmTTZs28fbbb9v+g+p0OkaOHMnWrVsJCgrixIkTdo700Vy6dKlMa0dycjLXr19n+/btbNmyhb/85S/cu3cPKJ0HfMuWLQwdOrTC39wbkmeffZYvv/wSi8VCWloavXr1wmw2k5+fT3x8PLt378ZkMvH9998D4O3tzfbt2+nfv7+dI6++3bt3ExUVRbt27VAqlXz33XcAREREkJCQwPPPP2+7Tnq9nm3btjFmzBg7Rlw9j3LtoqKiSEpKAmDPnj1MmDDBztHXncb+2eKoKnvfPSgjI4OTJ0+yZ88e/vznP5Odnf2YI62Z5s2bs379es6fP8/EiRN57rnnOHr0KIsXL+att94iISGBQYMG8cknnwBw69Yt1q9fz65du4iPjycnJ8fOGVTt2rVrtGnTptz24OBgxo8fz9y5c9m5cyfTpk0jIyODuXPnEhkZyfDhw+0Qbc0tXbqU+Ph4rly5ApR+nhw4cIAdO3awY8cOrly5wtGjR5kwYYJtgGXfvn1ER0fbMepH5+/vz8GDByusW5YsWcLKlSvZvXs3gwcPfuxtdE2+tUOn06FUKnF1dQWgT58+bNiwgT179qBQKDAajbZ9w8PDAWjZsmWj65l7sLXj448/Jj093TZqZDQauXHjBlD6GgBlVphsqEaNGsXSpUsJCQmxxe3k5ISrqysLFy7E09OTmzdv2q5jaGioPcN9ZHfv3uXEiRPk5uaSkJCAVqtl69atQOloBJReJ2tvX2PK71GuXd++fVm+fDm5ubmcOnWKhQsX2jn6h3vws6WqP702xs+WR8mvsanqfWdlnTk2MzOT7t274+zsjLOzM926dbNHyI/sypUreHl5sWrVKgC+//575syZg16vZ9myZQCUlJTQtm1bAHr16oVSqQSgY8eOXL16FX9/f7vEXh3NmzcnLS2t3PYrV66g1+vp1asXgK1wbqy9xX5+fixatIi4uDgiIiLQ6/X07NmzTE3z448/MnnyZGJiYoiKikKr1RIWFmbnyB9NVlYWo0aNIjk5uVzdcufOHdq3bw9AVFTUY4+tyY9Iv/baa6SmpmI2m8nJyWHlypW8+OKLrFmzhr59+3L/NNuO9IOiXbt29O3bl4SEBDZv3szzzz9PSEgIgG309ptvvqFjx472DPOhQkJCKCwsJCEhgdGjRwOg1Wo5fPgwH3zwAYsXL8ZsNtuuo5NT4/ovn5yczPjx4/n000/ZuHEju3bt4tSpU+Tm5tpuDDp//jwdOnQAGld+j3LtFAoFo0ePZvny5QwYMMD2Q6Ihe/CzJSwszDZamZ6eXmbfxvjZ8ij5NTaVve+cnJxsOf7www9A6SDF999/j9lsxmAw2LY3dBcvXuTtt9/GYDAApb+Ee3t788QTT7B69WoSEhL4/e9/z5AhQwDQaDSYTCaKioq4dOkSTzzxhB2jf7jhw4dz+vTpMsX07t278fPzY/Dgwbafc8nJySQkJODk5ITZbLZXuLUybNgwQkNDSUpKws3NjbS0NIxGIxaLhXPnzhEaGoparaZbt26sWrWq0fX7a7Vadu/ejVqtrrBuCQoK4vLly0DpDbSHDh16rPE1+RHpmTNn2nqFRowYQfv27Xn33XfZsGEDLVq0IC8vz84R1o9hw4bx9ddfExMTQ2FhIU8//TReXl4AHD58mM2bN6NSqVi9erWdI324F154gb/+9a+EhoZy7do1nJ2d8fDwYNKkSQAEBgZy+/ZtO0dZM7t37+bdd9+1Pfbw8ODZZ59lz549JCUlER8fj4eHB++++y7//Oc/7RhpzTzKtRs3bhxDhgzhr3/9qz1DrrYHP1tGjhzJggULOHfuHF27drVzdLXnyPlV9r5r0aIFy5Yto1WrVgQFBQHQqVMnBg8eTHR0NH5+fri6uuLi0vB/tD777LNkZmYyYcIEPD09sVgsvPrqq7Ro0YK4uDiMRiMKhYIVK1Zw+/ZtjEYjc+bMIT8/n3nz5tGsWTN7p1AllUrFX/7yF1auXEl+fj4mk4lOnTqxdu1a8vLyWLJkCevXr8fd3Z01a9aQlZXF+vXr6dq1q+0m6MbkjTfe4OzZs6hUKp5//nkmT56M2Wymd+/ePP3000DpaO3s2bNZuXKlnaN9uLNnzxIbG4uTkxMmk4n58+fzzDPP8Ic//KFc3bJs2TIWLVqEk5MTgYGBzJgx47HGKisbCtEIxcbGsnTpUtufs5qCW7du8eqrr7J582Z7hyKETU5ODgcPHmTKlCkYDAZGjhzJ5s2badWqlb1DqzMpKSns2LHDNouCEOLfGv6vzUKIJu/LL7/kww8/ZOnSpfYORYgy/Pz8uHDhAuPHj0ehUBAVFeVQRbQQomoyIi2EEEIIIUQNNJ47k4QQQgghhGhApJAWQgghhBCiBqSQFkIIIYQQogakkBZCCCGEEKIGpJAWQgghhBCiBqSQFkIIIYQQogb+H5Dt9a8GvQaOAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "births_by_date.plot(ax=ax)\n",
    "\n",
    "# Add labels to the plot\n",
    "style = dict(size=10, color='gray')\n",
    "\n",
    "ax.text('2012-1-1', 3950, \"New Year's Day\", **style)\n",
    "ax.text('2012-7-4', 4250, \"Independence Day\", ha='center', **style)\n",
    "ax.text('2012-9-4', 4850, \"Labor Day\", ha='center', **style)\n",
    "ax.text('2012-10-31', 4600, \"Halloween\", ha='right', **style)\n",
    "ax.text('2012-11-25', 4450, \"Thanksgiving\", ha='center', **style)\n",
    "ax.text('2012-12-25', 3850, \"Christmas \", ha='right', **style)\n",
    "\n",
    "# Label the axes\n",
    "ax.set(title='USA births by day of year (1969-1988)',\n",
    "       ylabel='average daily births')\n",
    "\n",
    "# Format the x-axis with centered month labels\n",
    "ax.xaxis.set_major_locator(mpl.dates.MonthLocator())\n",
    "ax.xaxis.set_minor_locator(mpl.dates.MonthLocator(bymonthday=15))\n",
    "ax.xaxis.set_major_formatter(plt.NullFormatter())\n",
    "ax.xaxis.set_minor_formatter(mpl.dates.DateFormatter('%h'));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The `ax.text` method takes an *x* position, a *y* position, a string, and then optional keywords specifying the color, size, style, alignment, and other properties of the text.\n",
    "Here we used `ha='right'` and `ha='center'`, where `ha` is short for *horizontal alignment*.\n",
    "See the docstrings of `plt.text` and `mpl.text.Text` for more information on the available options."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transforms and Text Position\n",
    "\n",
    "In the previous example, we anchored our text annotations to data locations. Sometimes it's preferable to anchor the text to a fixed position on the axes or figure, independent of the data. In Matplotlib, this is done by modifying the *transform*.\n",
    "\n",
    "Matplotlib makes use of a few different coordinate systems: a data point at $(x, y) = (1, 1)$ corresponds to a certain location on the axes or figure, which in turn corresponds to a particular pixel on the screen.\n",
    "Mathematically, transforming between such coordinate systems is relatively straightforward, and Matplotlib has a well-developed set of tools that it uses internally to perform these transforms (these tools can be explored in the `matplotlib.transforms` submodule).\n",
    "\n",
    "A typical user rarely needs to worry about the details of the transforms, but it is helpful knowledge to have when considering the placement of text on a figure. There are three predefined transforms that can be useful in this situation:\n",
    "\n",
    "- `ax.transData`: Transform associated with data coordinates\n",
    "- `ax.transAxes`: Transform associated with the axes (in units of axes dimensions)\n",
    "- `fig.transFigure`: Transform associated with the figure (in units of figure dimensions)\n",
    "\n",
    "Let's look at an example of drawing text at various locations using these transforms (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(facecolor='lightgray')\n",
    "ax.axis([0, 10, 0, 10])\n",
    "\n",
    "# transform=ax.transData is the default, but we'll specify it anyway\n",
    "ax.text(1, 5, \". Data: (1, 5)\", transform=ax.transData)\n",
    "ax.text(0.5, 0.1, \". Axes: (0.5, 0.1)\", transform=ax.transAxes)\n",
    "ax.text(0.2, 0.2, \". Figure: (0.2, 0.2)\", transform=fig.transFigure);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Matplotlib's default text alignment is such that the \".\" at the beginning of each string will approximately mark the specified coordinate location.\n",
    "\n",
    "The `transData` coordinates give the usual data coordinates associated with the x- and y-axis labels.\n",
    "The `transAxes` coordinates give the location from the bottom-left corner of the axes (here the white box), as a fraction of the total axes size.\n",
    "The `transFigure` coordinates are similar, but specify the position from the bottom-left corner of the figure (here the gray box) as a fraction of the total figure size.\n",
    "\n",
    "Notice now that if we change the axes limits, it is only the `transData` coordinates that will be affected, while the others remain stationary (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ax.set_xlim(0, 2)\n",
    "ax.set_ylim(-6, 6)\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This behavior can be seen more clearly by changing the axes limits interactively: if you are executing this code in a notebook, you can make that happen by changing `%matplotlib inline` to `%matplotlib notebook` and using each plot's menu to interact with the plot."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Arrows and Annotation\n",
    "\n",
    "Along with tickmarks and text, another useful annotation mark is the simple arrow.\n",
    "\n",
    "While there is a `plt.arrow` function available, I wouldn't suggest using it: the arrows it creates are SVG objects that will be subject to the varying aspect ratio of your plots, making it tricky to get them right.\n",
    "Instead, I'd suggest using the `plt.annotate` function, which creates some text and an arrow and allows the arrows to be very flexibly specified.\n",
    "\n",
    "Here is a demonstration of `annotate` with several of its options (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "\n",
    "x = np.linspace(0, 20, 1000)\n",
    "ax.plot(x, np.cos(x))\n",
    "ax.axis('equal')\n",
    "\n",
    "ax.annotate('local maximum', xy=(6.28, 1), xytext=(10, 4),\n",
    "            arrowprops=dict(facecolor='black', shrink=0.05))\n",
    "\n",
    "ax.annotate('local minimum', xy=(5 * np.pi, -1), xytext=(2, -6),\n",
    "            arrowprops=dict(arrowstyle=\"->\",\n",
    "                            connectionstyle=\"angle3,angleA=0,angleB=-90\"));"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The arrow style is controlled through the `arrowprops` dictionary, which has numerous options available.\n",
    "These options are well documented in Matplotlib's online documentation, so rather than repeating them here it is probably more useful to show some examples.\n",
    "Let's demonstrate several of the possible options using the birthrate plot from before (see the following figure):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "jupyter": {
     "outputs_hidden": false
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12, 4))\n",
    "births_by_date.plot(ax=ax)\n",
    "\n",
    "# Add labels to the plot\n",
    "ax.annotate(\"New Year's Day\", xy=('2012-1-1', 4100),  xycoords='data',\n",
    "            xytext=(50, -30), textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle=\"->\",\n",
    "                            connectionstyle=\"arc3,rad=-0.2\"))\n",
    "\n",
    "ax.annotate(\"Independence Day\", xy=('2012-7-4', 4250),  xycoords='data',\n",
    "            bbox=dict(boxstyle=\"round\", fc=\"none\", ec=\"gray\"),\n",
    "            xytext=(10, -40), textcoords='offset points', ha='center',\n",
    "            arrowprops=dict(arrowstyle=\"->\"))\n",
    "\n",
    "ax.annotate('Labor Day Weekend', xy=('2012-9-4', 4850), xycoords='data',\n",
    "            ha='center', xytext=(0, -20), textcoords='offset points')\n",
    "ax.annotate('', xy=('2012-9-1', 4850), xytext=('2012-9-7', 4850),\n",
    "            xycoords='data', textcoords='data',\n",
    "            arrowprops={'arrowstyle': '|-|,widthA=0.2,widthB=0.2', })\n",
    "\n",
    "ax.annotate('Halloween', xy=('2012-10-31', 4600),  xycoords='data',\n",
    "            xytext=(-80, -40), textcoords='offset points',\n",
    "            arrowprops=dict(arrowstyle=\"fancy\",\n",
    "                            fc=\"0.6\", ec=\"none\",\n",
    "                            connectionstyle=\"angle3,angleA=0,angleB=-90\"))\n",
    "\n",
    "ax.annotate('Thanksgiving', xy=('2012-11-25', 4500),  xycoords='data',\n",
    "            xytext=(-120, -60), textcoords='offset points',\n",
    "            bbox=dict(boxstyle=\"round4,pad=.5\", fc=\"0.9\"),\n",
    "            arrowprops=dict(arrowstyle=\"->\",\n",
    "                            connectionstyle=\"angle,angleA=0,angleB=80,rad=20\"))\n",
    "\n",
    "\n",
    "ax.annotate('Christmas', xy=('2012-12-25', 3850),  xycoords='data',\n",
    "             xytext=(-30, 0), textcoords='offset points',\n",
    "             size=13, ha='right', va=\"center\",\n",
    "             bbox=dict(boxstyle=\"round\", alpha=0.1),\n",
    "             arrowprops=dict(arrowstyle=\"wedge,tail_width=0.5\", alpha=0.1));\n",
    "\n",
    "# Label the axes\n",
    "ax.set(title='USA births by day of year (1969-1988)',\n",
    "       ylabel='average daily births')\n",
    "\n",
    "# Format the x-axis with centered month labels\n",
    "ax.xaxis.set_major_locator(mpl.dates.MonthLocator())\n",
    "ax.xaxis.set_minor_locator(mpl.dates.MonthLocator(bymonthday=15))\n",
    "ax.xaxis.set_major_formatter(plt.NullFormatter())\n",
    "ax.xaxis.set_minor_formatter(mpl.dates.DateFormatter('%h'));\n",
    "\n",
    "ax.set_ylim(3600, 5400);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The variety of options make `annotate` powerful and flexible: you can create nearly any arrow style you wish.\n",
    "Unfortunately, it also means that these sorts of features often must be manually tweaked, a process that can be very time-consuming when producing publication-quality graphics!\n",
    "Finally, I'll note that the preceding mix of styles is by no means best practice for presenting data, but rather is included as a demonstration of some of the available options.\n",
    "\n",
    "More discussion and examples of available arrow and annotation styles can be found in the Matplotlib [Annotations tutorial](https://matplotlib.org/stable/tutorials/text/annotations.html)."
   ]
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "jupytext": {
   "formats": "ipynb,md"
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  "kernelspec": {
   "display_name": "Python 3.9.6 64-bit ('3.9.6')",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.6"
  },
  "vscode": {
   "interpreter": {
    "hash": "513788764cd0ec0f97313d5418a13e1ea666d16d72f976a8acadce25a5af2ffc"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}
